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Master's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university is required; coursework or minor in Information Systems, Software Engineering

$35 - $100/hourpayEViewsMacroeconomicsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Job Description Arena Investors, LP is a global investment management firm that seeks to generate attractive risk adjusted, consistent and uncorrelated returns by employing a fundamentals based, asset-oriented financing and investing strategy across the entire credit spectrum in areas where conventional sources of capital are scarce. Arena specializes in off-the-run, stressed, distressed, illiquid and esoteric special situation transactions through originations and acquisitions of asset-oriented investments across a wide array of asset types (including but not limited to private direct corporate credit, commercial real estate bridge lending, and commercial and consumer assets). Quaestor Advisors (“Quaestor”), is an affiliated Special Servicer, which provides mid and back-office services, including asset management, to Arena Investors and external clients. Quaestor is looking to expand the Valuations team, through the addition of a Valuations Senior Analyst / Associate. This is a technically demanding, senior individual contributor role with team leadership responsibility. In this role, the successful candidate will work under the EVP of Valuations. Responsibilities: • Complex Financial Instrument Valuations – Lead and own fair value engagements for a broad range of financial instruments, including: ◦ Exotic/structured derivatives (options, or option-linked instruments) ◦ Fixed income: corporate bonds, leveraged loans, and distressed/illiquid debt ◦ Equity-linked and hybrid instruments: convertible bonds, warrants, and preferred equity with complex features ◦ Options and contingent claims across public and private underlying assets – Build, maintain, and critically review valuation models - including DCF, binomial lattice, Monte Carlo simulation, Black-Scholes and its extensions, and reduced-form/structural credit models – Select and justify appropriate methodologies given instrument complexity, liquidity, observability of inputs, and applicable accounting guidance – Calibrate models to market data and perform robust sensitivity and scenario analysis – Source and analyze market data inputs including yield curves, credit spreads, implied volatilities, and prepayment assumptions • Accounting Standards & Financial Reporting Support – Apply and interpret relevant US GAAP accounting standards as they govern fair value measurement and financial instrument reporting, including: ◦ ASC 820 (Fair Value Measurement): Level 1/2/3 hierarchy, principal market, highest-and-best-use, unit of account, and Day 1 P&L considerations ◦ ASC 946 (Investment Companies): NAV-basis reporting, fair value for fund portfolios, and related disclosure requirements ◦ ASC 825 (Financial Instruments): fair value option elections and related disclosure – Partner with external auditors and fund administrators on fair value sign-offs, Level 3 roll-forwards, and valuation committee presentations – Prepare and review technical memoranda documenting valuation conclusions, methodology rationale, and accounting treatment linkages – Assist portfolio companies or clients in designing and implementing valuation policies consistent with applicable standards • Team & Engagement Leadership – Lead engagement workflow end-to-end: scoping, timeline management, model review, quality control, and final deliverable – Mentor and review the work of junior Analysts and Associates on the Valuations team – Act as a primary point of contact for internal portfolio teams and external clients on instrument-level valuation questions – Communicate valuation conclusions clearly to non-technical stakeholders including CFOs, controllers, and audit committees Requirements • Bachelor’s degree in Finance, Applied Mathematics, or other quantitative finance major, or Economics with a strong interest in pursuing professional designation; Master’s degree is a plus., • Experience with valuing and reviewing debt and complex financial instruments/derivatives (swaps, contingent consideration, convertible debt, etc.) and related methodologies/ models/ software (Monte Carlo simulation, Binomial Models, Thomson Reuters or Bloomberg)., • 3-5 years valuation experience with a Big 4 or Top 20 public accounting and advisory firm., • Demonstrated experience in both performing valuations and reviewing common stock, debt and derivative valuations, etc., • Experience working with Capital IQ., • Highly Proficient in Microsoft Office, especially Excel and Word, • Good understanding of the accounting standards related to financial instruments and valuations is a plus., • Ability to work on multiple engagements simultaneously with competing priorities in a rapidly growing, fast-paced, interactive, results-based environment, • Excellent written, interpersonal, and presentation skills, • Python programming/coding is a plus, • Individuals on the path to obtaining the CFA qualification is a plus. This job description is not an exhaustive list of all responsibilities, and duties may change Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Free Food & Snacks, • Wellness Resources

Job Description About Overdeck Family Foundation Overdeck Family Foundation (“the Foundation”) was founded in 2011 to provide all children the opportunity to unlock their potential. The Foundation focuses on enhancing education through funding efforts in early childhood, hands-on STEM education, and K-9 programs, supporting both educators and student-centered learning environments. Our grantmaking and strategic support focus on unlocking innovation, evidence, and growth opportunities to accelerate key academic and socioemotional outcomes for all children. At Overdeck Family Foundation, we achieve our impact by collaborating with rigor, fostering a culture of curiosity and learning, and living our core values to drive meaningful change. Visit www.overdeck.org for more information on our foundation, including our research repository. The Research Fellow Position Overdeck Family Foundation is seeking a Research Fellow to work with the Research & Impact Officer, Meghan McCormick, to support the Foundation’s evidence and research efforts. This role will contribute to activities including evidence reviews for prospective grantees, evidence summaries for funding recommendations, and targeted communication activities such as updating summaries of research funded by the Foundation. The position is ideally suited for advanced doctoral students or post-doctoral researchers in economics, public policy, sociology, applied psychology, or education, particularly those with expertise in econometrics and K-12 education. What You’ll Help Us Do: Conduct evidence reviews to assess potential grantee organizations against the Foundation’s goals and priorities. Develop evidence summaries to support funding recommendations and presentations. Collaborate on updating and maintaining a repository of research studies funded by the Foundation. Support communications activities by creating clear, concise summaries of research findings. Who You Are: You are outcomes-driven. You are motivated by the Foundation’s mission to open doors for every child in the U.S. by measurably enhancing education both inside and outside the classroom. You bring expertise in quantitative research. You have advanced training in research methodology (ex: experimental and quasi-experimental designs), knowledge of the federal ESSA evidence tiers, and experience conducting independent research. You communicate effectively. Your ability to synthesize and clearly present complex research findings ensures your work drives understanding and decision-making. You are independent and proactive. You excel at managing your tasks and producing high-quality outputs with minimal supervision. You value collaboration. You’re a team player, open to feedback, and eager to work with internal colleagues to enhance the Foundation’s learning and impact. What You’ve Done: Advanced doctoral coursework or a post-doctoral position in a relevant field. Expertise in econometrics, quantitative research methods, and K-12 education preferred. Strong written and verbal communication skills. Demonstrated ability to work independently and meet project deadlines. Working at Overdeck Family Foundation This fellowship opportunity will span from March to October 2025, with an estimated time commitment of 35-40 hours per month. Overdeck Family Foundation will offer the Research Fellow a competitive monthly retainer of $2,500, totaling $20,000 for the full engagement. The role is fully remote though the Fellow will be welcome to join select meetings with the team in person at the Foundation’s New York City offices based on geographic proximity. The Research Fellow may perform duties as convenient though would be expected to be available to join occasional meetings or check-ins during the Foundation’s core working hours (10 a.m. to 4 p.m. ET). How to Apply Please complete the application form, which includes uploading the following materials: Resume/CV Example of Original Research: Submit an original research paper that you have led or co-led. This can be a working paper or a published paper. Example of a Literature Review: Share a literature review that you have led. This can be either published or unpublished.

Job Description JOB INFORMATION: Title: Staff Analyst Series (Business Planning) Authority: OA Department: MTA Procurement Division/Unit: Supply Chain Strategy (Strategic Planning) Location: 2 Broadway, Manhattan Hours: 9:00AM – 5:00PM Telework (if Applicable): Reporting Manager (if Applicable): Manager, Procurement Business Planning. Deadline (if Applicable): Until Filled Compensation\Authority - Union OA – TWU L100 Staff Analyst I (OA) $71,203 - $84,295 Staff Analyst II (OA) $82,673 - $92,077 Associate Staff Analyst (OA) $93,453 - $121,004 Candidates selected for this position on the NYC Transit payroll may be placed in a competitive or non-competitive class position based on their qualifications. Qualified candidates who are placed in a competitive class position are eligible for the 55-a Program. Please indicate in your cover letter and in the upper right corner of your resume that you would like to be considered for the position under the 55-a Program. For detailed information regarding the 55-a Program, please visit the following link: https://www1.nyc.gov/site/dcas/employment/55-a-program.page POSITON SUMMARY: The Budget & HR Support Analyst plays a pivotal role within the Procurement Business Planning team, providing essential support for budget management, workforce planning, recruitment, and organizational reporting. This position requires strong analytical skills and the ability to collaborate across departments to ensure accurate, timely, and compliant financial and HR operations. The Analyst will work closely with the MTA People Department and the Office of Management & Budget to drive efficient processes and informed decision-making. RESPONSIBILITIES: Budget & Financial Management Gather, organize, and analyze monthly labor and non‑labor expenditure data for presentation to senior management Conduct research, forecasting, and variance analysis to identify discrepancies and trends. Assist with the preparation and timely submission of OMB exercises, chargebacks/cost allocations, and budget reconciliation activities. Assist with the preparation and submission of OMB exercises, chargebacks, cost allocations, and budget reconciliation activities. Liaise with OMB and other user departments/agencies to resolve active budget issues and support ongoing fiscal exercises. Human Resources & Workforce Planning Collaborate with the MTA People Department to process personnel actions, HR forms, onboarding documentation, and recruitment workflows. Maintain accurate recruitment activity reports and vacancy tracking reports for leadership review Reconcile employee headcounts, track attrition and overtime usage, and accurately update organizational charts. Assist hiring managers with timely preparation of recruitment packages and help manage demands across multiple managers. Provide ongoing, strategic communication/recommendations to internal hiring managers. Operational Support Drive the execution of special projects by gathering documentation, validating data integrity, and preparing executive-level project summaries. Support special projects related to budget improvements, HR compliance, and procurement workforce operations. Facilitate and actively contribute to internal/external meetings when needed, ensuring action items are tracked, communicated and executed. EDUCATION AND EXPERIENCE: Associate Staff Analyst 1. A master’s degree from an accredited college or university in economics, finance, accounting, business or public administration, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, urban studies, or a Juris Doctor degree from an accredited law school, and one year of satisfactory full-time professional experience in one or a combination of the following: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, labor relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management, or in a related area; or, 2. A baccalaureate degree from an accredited college or university and three years of satisfactory fulltime professional experience in the areas described in "1" above; or, 3. An associate degree or completion of 60 semester credits from an accredited college and five years of satisfactory full-time professional experience as described in “1” above; or, 4. A four-year high school diploma or its educational equivalent approved by a State’s department of education or a recognized accrediting organization and seven years of satisfactory full-time professional experience as described in “1” above; or, 5. A combination of education and/or experience equivalent to “1”, “2”, “3”, or “4” above. College education may be substituted for professional experience at the rate of 30 semester credits from an accredited college for one year of experience. However, all candidates must have a high school diploma and at least one year of experience as described in “1” above. Staff Analyst I & Staff Analyst II 1. A master’s degree from an accredited college or university in economics, finance, accounting, business or public administration, human resources management, management science, operations research, organizational behavior, industrial psychology, statistics, personnel administration, labor relations, psychology, sociology, human resources development, political science, or urban studies, or a Juris Doctor degree from an accredited law school; or, 2. A baccalaureate degree from an accredited college or university and two years of satisfactory full-time professional experience in one or a combination of the following areas: working with the budget of a large public or private concern in budget administration, accounting, economic or financial administration, or fiscal or economic research; in management or methods analysis, operations research, organizational research or program evaluation; in personnel or public administration, recruitment, position classification, personnel relations, labor relations, employee benefits, staff development, employment program planning/administration, labor market research, economic planning, social services program planning/evaluation, or fiscal management; or in a related area; or, 3. An associate degree or completion of 60 semester credits from an accredited college or university and four years of satisfactory full-time professional experience as described in "2" above: or, 4. A four-year high school diploma or its educational equivalent and six years of satisfactory full-time professional experience as described in "2" above; or, 5. A combination of education and/or experience equivalent to "1", "2", "3", or "4" above. College education may be substituted for professional experience at the rate of 30 semester credits from an accredited college or university for one year of experience. However, all candidates must have a high school diploma. Special Note: To be eligible for placement in Assignment Level II, individuals must have, after meeting the minimum requirements, one additional year of professional experience as described in "2" above. DESIRED SKILLS: Strong organizational, analytical, and communication skills. Ability to work independently, prioritize tasks, and meet tight deadlines. Proficiency in Microsoft Office Suite. Excellent organizational skills. Excellent oral and written communication skills. Excellent interpersonal, analytical, research and problem-solving skill. SELECTION METHOD Based on evaluation of education, skills, experience, interview, and written assessment. All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal. OTHER INFORMATION Appointment may be at a comparable level to current level of selected candidate. (If necessary) As an employee of MTA NYC Transit, you may be required to complete an annual financial disclosure statement with the state of New York, if your position earns more than $101,379 (this is subject to change) per year or if the position is designated as a policy maker. For 55-a eligible titles: Candidates selected for this position may be placed in a competitive or non-competitive class position based on their qualifications. Qualified candidates who are placed in a competitive class position are eligible for the 55-a Program. Please indicate in your cover letter and in the upper right corner of your resume that you would like to be considered for the position under the 55-a Program. For detailed information regarding the 55-a Program, please visit the following link https://www1.nyc.gov/site/dcas/employment/55-a-program.page ADDITIONAL INFORMATION Final salary is determined experience, skillset, and alignment with compensation practices. The posted range reflects expected compensation and may be updated as market or business needs evolve. To be eligible for consideration for a new role, current MTA employees must complete at least one year of service in their current role prior to applying. Additionally, eligibility to interview is contingent upon maintaining a satisfactory record of job performance, attendance, and disciplinary conduct. Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the “Commission”). HOW TO APPLY Qualified applicants can submit an online application by clicking on the ‘APPLY NOW’ button from either the CAREERS page or from the JOB DESCRIPTION page. If you have previously applied online for other positions, enter your Username and Password. If it is your first registration, click on the CLICK HERE TO REGISTER hyperlink and enter a Username and Password; then click on the REGISTER button. EQUAL EMPLOYMENT OPPORTUNITY MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

Job Description Job Information Title Senior Director Global Benchmarking and Innovation Department: Operations Planning Authority: OA/TA Division/Unit Data, Research, and Development Work Location: 2 Broadway, Manhattan Hours: Various Deadline: Open until filled Reporting Manager - Deputy Chief Compensation Salary Range $ 132,353- $165,441 – Grade PPM010 Responsibilities At the initiative of agency leadership, the newly formed GBI team will build on the Global Benchmarking unit’s successful record of bringing intelligence from peer agencies around the world back into NYCT and will be charged with taking the next step to identify potential innovations that can be applied within NYCT. Further, the team will lead implementation of those innovations, or in some cases partner with relevant departments to implement these ideas. Responsibilities of this position include: • Manage and help build up the GBI team, consisting of a staff of up to seven., • Oversee the existing benchmarking team to support its current work maintaining NYCT’s membership in the Community of Metros (COMET) and the International Bus Benchmarking Group., • Monitor industry best practices and emerging trends., • Cultivate relations with key stakeholders in Department of Buses (DOB) and the Department of Subways (DOS), and the Department of Paratransit., • Develop protocols for working with stakeholders to identify practical opportunities for improvement, • Oversee research projects in response to requests from within the organization as well as field questions from peer agencies, • Manage selected projects to bring innovations to NYCT Education and Experience A Baccalaureate degree in: Major Field of Study: City Planning, Transportation Planning, Economics, Engineering, Urban Planning, or a closely related field. 10 years’ experience in transit planning, transit operations or related research field, five years of which should be in a management role OR a satisfactory equivalent of education & experience Desired Skills and Experience • Proven success as a project manager with a record of gaining organizational buy in., • Strong leadership and team management skills, with the ability to mentor and develop staff., • Deep experience with subway, bus and paratransit operations, with specific knowledge of the unique challenges in New York City., • Familiarity with best practices and trends among our global and national peer agencies, • Ability to speak knowledgably and articulately to multiple audience types, and on topics at both an overarching general narrative level and highly detailed project specific level., • Comprehensive knowledge of current and emerging transit data collection, planning, transportation modeling techniques and alternative analyses., • Experience in data analytics, or related technology-driven fields., • Excellent written and verbal communication skills. Selection Method Based on evaluation of education, skills, experience, and interview. Appointment may be at a comparable level to current level of selected candidate (if necessary) Other Information Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policy making position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the “Commission”). Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As Head of Applied AI at Amigo, you'll lead the Applied AI Engineers and Deployment Strategists who deploy our technology inside major health systems, life sciences, payor organizations, and government entities. Amigo isn't a point solution. We're the infrastructure our customers build their agents on, and the Applied AI team is how that platform becomes agents clinicians and patients actually use. You're accountable for what the field delivers end to end, from fast time-to-value to real clinician adoption to Amigo's expansion inside each account. The core of the job is building the team, the playbooks, and the quality bar as Amigo takes on more customers with deeper integrations. You'll be working with product, growth, and leadership to shape Amigo's field and platform strategy. What you’ll do Hiring and growing the field team, and developing the leaders inside it Owning Applied AI-wide outcomes across the customer portfolio, from time-to-value to clinician adoption to customer health Setting the reference architectures, standards, and playbooks that every deployment is built within Acting as the team’s voice to product and leadership on what customers need and where the platform goes next Staying close to the hardest deployments and most senior stakeholders to hold the line on scope, timelines, and quality What we're looking for Experience leading customer-facing delivery, forward-deployed, or solutions teams, ideally in healthcare technology, enterprise SaaS, or consulting Direct experience in healthcare delivery environments (clinical operations, hospital administration, or health system strategy) Real technical depth, you've shipped production software or AI systems and can make architecture and tradeoff calls with your engineers, not around them Demonstrated ability to build trusted relationships with senior stakeholders across clinical leadership, IT, operations, finance, and compliance Experience with LLMs and agent systems A track record hiring, growing, and developing leaders, raising the bar of a whole team rather than delivering as an individual Strong business acumen, comfortable with ROI models, unit economics, and quantifying operational impact Low ego, direct, and holds yourself and your team to a high bar Able to work on site in New York City or San Francisco Benefits (available to Full-Time Employees) Health & Wellness Comprehensive health, dental, and vision insurance Daily catered lunch and dinner Mental health support and wellness coaching Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development Annual learning budget for courses, books, or conferences Conference attendance budget for professional development Annual team offsite Academic collaboration opportunities Unlimited PTO Our Core Values Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $300K - $500K

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About CoreWeave CoreWeave powers the creation and delivery of the next generation of AI. We provide the infrastructure behind some of the most demanding AI and high-performance computing workloads in the world. As we continue to scale rapidly, finance plays a critical role in helping the business deploy capital thoughtfully, improve efficiency, and translate operational complexity into clear decision-making. About the Role CoreWeave is looking for a Finance Analyst to join the Capacity Finance team within FP&A. This role sits at the intersection of finance, infrastructure, and operations, supporting the planning and analysis behind our global hardware and datacenter footprint. This person will support forecasting, capacity-related financial modeling, variance analysis, and investment decision support across GPU, CPU, storage, and network infrastructure. They will partner closely with Engineering, Supply Chain, Datacenter Infrastructure, Revenue Finance, Treasury, Accounting, and Corporate FP&A to connect operational plans with financial outcomes. This is a strong opportunity for someone who enjoys solving complex problems, working with large and changing datasets, and building analyses that directly inform high-impact decisions. Optimally, this person will have previous experience with building large, complex operational models, skills in data organization and automation, exceptional abilities in complex financial modeling and economic analysis, and exemplary written and verbal communication skills. What You'll Do • Build, maintain, and improve financial models that support capacity planning and infrastructure investment decisions, • Support forecast, close, annual planning, and long-range planning processes for Capacity Finance, • Analyze actuals versus forecast and explain key variances related to deployment timing, hardware mix, utilization, and cost movements, • Translate operational inputs into financial impacts across CapEx, depreciation, cost of revenue, cash flow, and margin, • Partner with Engineering, Supply Chain, Datacenter Infrastructure, and Finance teams to evaluate assumptions, risks, and tradeoffs, • Track and report key capacity and financial KPIs, including metrics tied to utilization, sellable capacity, and capital efficiency, • Prepare clear reporting and commentary for Finance leadership and cross-functional stakeholders, • Improve reporting consistency, model controls, and planning processes as the business scalesWhat You'll Bring, • A bachelor's degree in finance, accounting, applied mathematics, economics, or other business major is required, or an equivalent combination of education and experience, • 3+ years of experience in FP&A, strategic finance, accounting, consulting, investment banking, or a related analytical role, • Strong Excel and modeling skills, • Experience working with large datasets and linking operational drivers to financial outcomes, • Strong analytical and problem-solving skills, with the ability to structure ambiguous issues into clear outputs, • Comfort operating cross-functionally in an environment with changing assumptions and evolving processes, • Strong written and verbal communication skills, • High attention to detail and strong sense of ownership in a fast-paced environmentPreferred Qualifications, • Experience in datacenter, cloud, hardware, infrastructure, semiconductors, or supply chain finance, • Experience with Claude, SQL, Tableau, Power Query, or similar tools Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $83,000 to $110,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionDescription We're Future, a global leader in specialist media. Our 3,000+ employees power more than 200 trusted brands, helping millions of people discover expert content that informs, inspires, and drives action. Through our websites, magazines, events, newsletters, podcasts, and social channels, we connect passionate audiences with the topics they care about most. You will develop advanced measurement frameworks beyond basic click-and-impression metrics. Your daily work involves building a proprietary measurement ecosystem tailored to modern data infrastructures. You will work closely with our sales teams and external agency partners. You will consult directly with brands to clearly define their success metrics. By translating complex data into accessible narratives, you will showcase true business growth. You will empower our internal teams to bring sophisticated, market-ready solutions to clients. What You'll Do You will report into the VP, Commercial Product and Go To Market Go-To-Market & Vendor Governance • Own the Measurement Narrative: Serve as the definitive technical voice for client and agency management, translating complex attribution frameworks into clear, high-impact business value., • Measurement as a Product: Treat measurement capabilities as a core commercial asset; partner with Sales to transform data insights into packaged media solutions that scale., • Sales Enablement & Decision Tree Design: Co-develop structured decision trees, FAQs, and frameworks to guide Sales and Sales Enablement teams on mapping the right measurement solutions to specific client goals., • Vendor & Commercial Governance: Manage the technical onboarding, benchmarking and financial efficiency of third-party measurement vendors to ensure contract costs directly fuel revenue growth. Technical Methodologies & Data Science • Causal Experimentation: Guide the data science design, execution, and evaluation of advanced incrementality testing, establishing scientific rigor via Geo-lifts, split-market holdouts, and randomized controlled trials., • MMM Data Architecture: Systematically map and pipeline complex media exposure data to cleanly ingest into global agency holding companies and corporate Marketing Mix Models., • Identity & Privacy Engineering: Own the technical identity roadmap—navigating MAIDs, clean rooms, cookieless identifiers, and privacy compliance (CCPA/GDPR)—to ensure high-fidelity signal capture across the ad stack. Product Innovation & 3-Year Vision • Close the Product Loop: Funnel behavioral, network, and creative insights directly back to Product Management to inform future core builds (acting as a key stakeholder for initiatives like the Product Manager Atelier)., • Scale Multi-Product Frameworks: Design and execute sophisticated measurement for performance tools (e.g., Future Optic, Helix) while expanding capabilities across social, audio/podcasts, and lower-funnel iterations., • Architect the Proprietary Ecosystem: Oversee the 3-year migration from third-party dependencies to an in-house, full-stack ecosystem powered by first-party pixels, predictive models, and custom testing frameworks. Experience That Will Put You Ahead Of The Curve • Experience: 4+ years in Marketing Science, Ad Analytics, or Attribution within a digital publisher, advanced measurement vendor, or quantitative media agency., • Agency Ecosystem Fluency: Deep understanding of major agency holding companies, their workflows, operational RACI matrix configurations, and media-planning vocabulary., • Measurement Mastery: Strong practical knowledge of MTA, Geo-testing, and MMM, alongside platform attribution algorithms (Meta, Google, DV360) and modern Data Clean Rooms., • Client-Facing Impact: 2+ years presenting complex data methodologies directly to brands and agencies, with a proven ability to turn technical frameworks into clear, commercial stories., • Technical Stack: Proficiency in SQL and data visualization tools. Hands-on experience with Python or R for custom statistical analysis is highly preferred., • Education: Bachelor’s degree in a quantitative field (Economics, Statistics, Data Science, etc.). A Master’s or PhD in Econometrics or Applied Statistics is a strong plus. Compensation and Benefits The expected range for this role is $162,000 - $180,000 • Uncapped leave, because we trust you to manage your workload and time, • When we hit our targets, enjoy a share of our profits with a bonus, • Refer a friend and get rewarded when they join Future, • Well-being support with access to our Colleague Assistant Programs, • Opportunity to purchase shares in Future with our Share Incentive Plan Internal job family level Commercial 3 This is a hybrid role from our New York office, working three days from the office and two from home. Diversity and Inclusion Diversity is central to who we are. We believe different perspectives spark new ideas, fuel creativity, and drive innovation. That's why we're committed to building an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We're dedicated to fair and inclusive hiring practices and welcome talent from all backgrounds, because diverse teams build stronger futures. Please let us know if you need any reasonable adjustments. #LI-Hybrid

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role Hinge is hiring a Lead Researcher to join our Cultural & Consumer Insights team. This role is the lead quantitative research partner to our Global Communications team, with a secondary focus supporting Product Marketing. This role requires a PhD in a behavioral science field (e.g., psychology, sociology, relationship science, behavioral economics, communications) along with strong quantitative research chops: you know how to design a survey that's methodologically sound enough to stand behind publicly (in press, in reports, in front of leadership), and thoughtful enough to be a genuinely good experience for the daters taking it. You have a proven ability to translate data into insights and stories that provoke new thinking and drive action, and you're energized by the idea of helping daters see their approach to dating in a new light. You'll partner closely with Communications and Product Marketing, translating big, sometimes ambiguous strategic questions ("What is a conversation-worthy behavior amongst GenZ daters") into sharp, actionable survey design and quantitative analysis. One week you'll be uncovering and socializing insights that shape our global consumer reports; the next you'll be partnering with Product Marketing to test feature sentiment or messaging with users. While this role primarily supports Marketing, Communications, and Product Marketing, the insights you generate will often extend well beyond the team, feeding into product initiatives, and will ultimately shape experiences for daters across the globe. This role calls for someone who is highly collaborative, comfortable operating in ambiguity, and energized by moving fluidly between high-level strategic thinking and the technical details of quantitative survey design, analysis, and storytelling. Responsibilities Survey Strategy & Design: Bring behavioral science and cultural expertise, especially on how Gen Z relates to dating, identity, and connection, into early brainstorms with Comms and Product Marketing, helping shape raw ideas and themes into sharp, well-defined research questions and exploration areas. Quantitative Craft: Design and field rigorous, creative surveys that translate those questions into precise instruments, ones that are also a genuinely good experience for daters. Ongoing Insight Synthesis: Run analysis as learnings emerge (not just at the end), keeping collaborators informed and engaged along the way, bringing the team on the ride with the data, even though final story and report ownership sits elsewhere. Signature Initiatives: Power efforts like the Global DATE Reports (GenZ + LGBTQIA), localized data stories in markets outside the US, and product marketing launches (value proposition testing, feature sentiment). Strategic Partnership: Act as a close, trusted partner to Communications and Product Marketing, embedding insights work directly into their strategy and planning, and connecting opportunities across Marketing and Product. Innovation in Quant Storytelling: Stay curious about what's next, experimenting with new survey formats, question design, and analysis approaches to push Hinge's quantitative storytelling forward. Vendor Management: Direct external research and strategy agencies, providing clear briefs and strategic direction aligned to CCI's goals. Within Three Months We Expect You To: Develop a strong understanding of storytelling at Hinge and build processes to support it by collaborating with marketing partners on a data-driven, consumer-facing story. Build strong, trusted, collaborative relationships with key partners across Communications and Product Marketing, including marketing managers in US + European + LATAM markets. Develop a research roadmap around key marketing moments in close collaboration with marketing partners. What We're Looking For PhD in a behavioral science field (relationship science, psychology, sociology, behavioral economics, communications, or related discipline), with formal training in research methods and quantitative analysis. Passion and curiosity about dating culture and our mission of inspiring intimate connections to create a less lonely world. 5+ years of post-PhD applied consumer research experience, with deep expertise in quantitative survey design, able to craft surveys that are methodologically sound and genuinely engaging for respondents. Experience designing research for external audiences, including press coverage, branded reports, and thought leadership. You’re an expert at defining the right questions: you can synthesize diverse perspectives and cultural observations into sharply defined research questions and areas of exploration Expert data storyteller with a proven ability to find the story in the data and make insights accessible and compelling Extremely collaborative, low-ego partner who thrives working shoulder-to-shoulder with Marketing and Product Marketing teams, who is comfortable operating with ambiguity and shifting priorities. Mixed-methods research expertise, with strong quantitative survey experience as a core strength, complemented by qualitative experience is a plus (in-depth interviews, ethnographic observation). Champions team culture in authentic, courageous, and empathic ways. Cross-cultural or cross-market research experience is a plus: you've run studies beyond the US and know how to identify and contrast cultural nuances. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.#LI-CH1 As a member of our team, you’ll enjoy: 401(k) Matching: We match 100% of the first 10% of pre-tax 401(k) contributions you make, up to a maximum of $10,000 per year. Professional Growth: Get an annual Learning & Development stipend once you’ve been with us for three months. You also get free access to Udemy, an online learning and teaching marketplace with over 6000 courses, starting your first day. Parental Leave & Planning: When you become a new parent, you’re eligible for 100% paid parental leave (20 paid weeks for both birth and non-birth parents.) Fertility Support: You’ll get easy access to fertility care through Carrot, from basic treatments to fertility preservation. We also provide a stipend towards fertility preservation. You and your spouse/domestic partner are both eligible. Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates– Romantic or otherwise. Hinge Premium is also free for employees and their loved ones. ERGs: We have eight Employee Resource Groups (ERGs)—Asian, Unapologetic, Disability, LGBTQIA+, Raices, Women/Nonbinary, Parents —that hold regular meetings, host events, and provide dedicated support to the organization & its community. At Hinge, our core values are… Authenticity: We share, never hide, our words, actions and intentions. Courage: We embrace lofty goals and tough challenges. Empathy: We deeply consider the perspective of others. Diversity inspires innovation Hinge is an equal-opportunity employer. We value diversity at our company and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe success is created by a diverse workforce of individuals with different ideas, strengths, interests, and cultural backgrounds. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please let your Talent Acquisition partner know. #Hinge .

Job Description At Coinme, we're redefining access to financial services in a digital world. By combining the cutting-edge power of blockchain technology with everyday simplicity, we make digital currencies accessible and usable for all. As the world's largest network of cryptocurrency kiosks with over 40,000 locations nationwide, we're breaking down barriers to crypto adoption through our seamless mobile app, secure digital wallet, and DeFi integrations. Beyond our consumer offerings, we're also the infrastructure powering the crypto revolution for businesses. Through our enterprise Crypto-as-a-Service (CaaS) platform, we enable businesses to launch crypto capabilities in weeks, not months. Our modular, API-first infrastructure provides everything from KYC and payment processing to liquidity and custody solutions—all fully licensed and compliant. We're big enough to lead the charge in decentralized finance but small enough that your ideas will make waves. Every role at Coinme contributes to building a financial future where everyone has the tools to thrive. At Coinme, your growth fuels our mission. Together, we RISE. About the Role Coinme's Payments & Risk team keeps transactions safe, disputes defensible, and fraud controls sharp as we scale across consumer and platform channels. The Director of Payments & Risk owns that mission end to end: the fraud defense strategy, the AI-augmented operation that executes it, and the team that runs it. This is a player-coach role. You set the defense architecture across fraud vendors, card processors, and banking partners, working closely with internal stakeholders such as Compliance, Product and Engineering and you keep enough hands-on depth to read raw logs and question what a rule actually did. You build and govern AI-assisted workflows that carry much of the operational load, and you develop the analysts and scientists who operate them. Decisions here are made on evidence, at speed, and must survive audit, and the function you build must not depend on any single person, including you. You own the economics of risk: losses, recoveries, and the customer friction in between. What You'll Do • Own the fraud risk strategy and the end-to-end defense architecture across the payments stack: vendor risk engines, internal controls, processor-level gates, and partner-bank requirements, with a current map of which system makes which decision., • Run the detection portfolio as a measured system: rules, thresholds, models, and velocity limits tuned against quantified false-positive versus fraud-capture tradeoffs, with disciplined change control and post-change monitoring., • Own the chargeback and dispute program economics: representing strategy, pre-dispute deflection signals (Ethoca, Verifi RDR, Compelling Evidence 3.0), win-rate and net-recovery reporting, and card-network monitoring standing., • Lead fraud investigations and incident response with evidence-first discipline: reconstruct the decision trail across vendor logs, application telemetry, and processor responses before assigning a disposition; distinguish system defects from legitimate controls; defend legitimate declines against pressure to override; and turn incidents into durable fixes., • Design and govern AI-native risk operations: agentic workflows for queue triage, decline forensics, fraud-ring detection, chargeback evidence assembly, and scheduled monitoring, with governance to match (QA gates before anything ships externally, human-in-the-loop checkpoints on account-level actions, auditable reasoning trails, and explicit boundaries on what automation may decide)., • Build and develop the team: hire, coach, and grow risk analysts and scientists, and train them to operate and extend the AI-assisted workflows, with documentation and runbooks treated as first-class deliverables., • Drive root-cause fixes across the entire payment flow and customer journey: when a risk gap lives in another team's system (compliance workflows, account lifecycle, internal tooling), own the influence campaign to fix it there instead of compensating downstream, and partner closely with compliance on the fraud/AML seam., • Manage the vendor and partner ecosystem at both levels: hands-on (rules, integrations, data quality) and commercial (SLAs, escalation paths, roadmap influence), and coordinate risk posture with processors, sponsor banks, and platform partners., • With a strong bias for action, report to executives on key risk mitigating actions to reduce risk exposure and loss, performance and risk metrics , with the ability to go beyond headline fraud rates: loss by channel, decline precision and false-positive cost, dispute win rates, automation coverage, and time-to-disposition, connecting risk decisions to profitability.What Success Looks Like (first 6 to 12 months), • You own the full fraud defense architecture with no or minimal regression in loss rate, chargeback ratio, or card-network monitoring standing through the transition., • Clearly demonstrating strong decision making capability, especially in a crisis event, where time and rapid response is critical., • The AI-assisted risk operation runs as a team-owned product: documented, version-controlled, monitored, and extended by the team, with no single-person dependencies., • The team is hired, ramped, and closing investigations independently within SLA, each with defensible written rationale., • Strong focus on fixing any identified process gaps.Vendor and processor relationships run on standing commercial reviews: SLAs, escalation paths, and roadmap input., • Executive reporting is standing and quantified, and it connects risk decisions to profitability.What You Bring (Must-Have), • Experience: 8+ years in payments risk, fraud, or dispute operations within financial services or cryptocurrency, including 3+ years leading a risk, fraud, or trust and safety function, ideally at a crypto exchange or on/off-ramp., • Payments and fraud depth: Card-rail mechanics (authorization and decline flows), chargeback and representment economics, Visa and Mastercard dispute rules and card-network monitoring programs, working knowledge of ACH and real-time rails, and fluency in crypto-side risk (wallet behavior, on-chain flows, cash-out typologies)., • Platform fluency: Extensive hands-on administration of modern fraud prevention platforms (Sardine, SEON, Sift, Kount, Forter, or similar), including rule authoring, shadow-versus-live testing, and the instinct to reverse-engineer what a rule actually does rather than trust its label., • Data fluency: Strong SQL and comfort in log and observability platforms and analytics tooling; you answer your own questions without waiting on an analyst., • AI-native leadership: You have built or governed AI-assisted operational workflows and can speak concretely about what you automated, what guardrails you set, and what you deliberately kept human. Aptitude is assessed in a working session., • Institution building: You document, cross-train, and design systems that outlive your tenure; the functions you leave keep running without you., • Influence: You change processes you don't own, fixing root causes in other teams' systems rather than building permanent workarounds., • People leadership: You have hired, developed, and retained analysts, and you can lead a team through AI-driven change in how the work itself gets done., • Judgment: Evidence discipline over convenient narratives, conservative and defensible metrics over optimistic ones, protection of good customers weighed as seriously as fraud losses, and clear communication to both technical and executive audiences.Nice to Have, • Direct experience with the Sardine platform and/or card processor integrations (TabaPay or similar)., • Threat-informed defense frameworks (MITRE ATT&CK, AADAPT, F3) applied to fraud., • Blockchain analytics tooling (TRM Labs, Chainalysis, Elliptic) and wallet-clustering investigations., • BSA/AML and SAR familiarity, including SAR-aware evidence handling and partnering with compliance on account lock and reactivation policy., • Experience building with LLM agent frameworks (Claude Code, agent SDKs) or workflow-automation platforms., • Modern data-stack familiarity: dbt, warehouse modeling, product analytics., • Certifications (CFE, CAMS, FRM) or an advanced degree in a relevant field.How We Work We measure before we act, count wins only when they are confirmed, and keep an audit trail for every change. We protect good customers as fiercely as we stop fraud, and we treat AI tooling as core to the job, not a novelty. If that is how you already think about risk, you'll fit right in. Check out our AI Usage Guidelines to understand how we approach AI tools during the hiring process.

Job DescriptionCompany Description We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 6,500+ people across 24 jurisdictions and have assets under administration (AUA) exceeding US$857 billion. We work with 13 of the world’s top-15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities Job Description This position will be at the forefront of driving growth and nurturing relationships with existing prospects. You’ll lead strategic initiatives, forge meaningful connections, and position IQEQ as a trusted partner in our clients' success stories. This role offers the perfect blend of leadership, strategy, and hands-on execution, ideal for a visionary who thrives in a fast-paced environment. What you’ll do • You'll cultivate relationships at the executive and operational levels with prospects, becoming an expert on their organizational structure and strategic goals; and develop a clear understanding of the political and business landscape of prospects to ensure optimal engagement, • You'll act as the primary point of contact for prospect relationships, continuously broadening engagement across C-suite and other key decision-makers, while ensuring alignment with the prospect’s strategic goals, offering tailored solutions and positioning IQEQ as integral to their business model, • You'll stay ahead of industry trends and competitors to adapt strategies that ensure long-term client retention and growth, and provide feedback to internal teams on product functionality and market trends to drive continuous innovation, • You'll lead the creation of a prospect-specific value proposition that differentiates IQEQ in a competitive marketplace, and collaborate with senior leadership and cross-functional teams to deliver bespoke solutions that meet client needs, and leverage IQEQ's global network to create a holistic and comprehensive strategy for client engagement, • You'll lead cross-functional teams in the preparation of proposals and presentations that showcase IQEQ's capabilities and expertise, • You'll coordinate with internal stakeholders to ensure seamless communication and alignment on prospect strategies, and maintain up-to-date records of all prospect activities and engagements through our CRM system What we offer • IQ-EQ offers a comprehensive benefits package designed to support employees' well-being and work-life balance, • Employees receive generous paid time off, including 4 weeks of PTO that increases over time, sick time and paid holidays, and financial wellness is supported through a 401(k) plan with a company match (subject to eligibility), • Health benefits include medical, dental, vision, mental health support and additional ancillary insurance plans, • Additional benefits include paid parental leave and a hybrid work schedule, promoting both personal and professional fulfillment, • This position is commission eligible and the salary will be dependent on experience and location ($150,000 - $180,000)Qualifications, • You hold a Bachelor’s degree in business, finance, economics, applied mathematics, or a related field, • You bring over 5 years of proven success in business development or client relationship roles within financial services, private equity, or asset management, • You have a strong ability to drive strategic initiatives, understand competitive landscapes, and close high-value deals, • You demonstrate exceptional leadership, financial acumen, and expertise in P&L management, budgeting, and financial modeling, • You excel in communication, presenting complex ideas clearly, and thrive in fast-paced, data-driven environments with a focus on results and innovation Additional Information Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 6,500+ employees - from 94 nationalities, across 24 countries - to each achieve their potential. Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success lead to our sustainability and success. We’re emotionally invested in our clients right from the beginning. #LI-HYBRID

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LINewYorkNewYork

Job DescriptionOur mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage. Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners. As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission. Reporting to the Senior Director, Strategic Operations, the Associate Director of Strategic Operations will focus on driving operational rigor, scalability, and gross margin expansion across the business. This leader will be embedded within the operations organization but partner closely with Finance, Product, Revenue, Clinical, and Customer teams to improve how we deliver care - ensuring we do so efficiently, sustainably, and at scale. This role is deeply execution-oriented. In addition to identifying high-impact efficiency opportunities, this person will serve as the programmatic owner of large, cross-functional initiatives - ensuring teams remain aligned, accountable, and on track to deliver measurable outcomes. Unlike traditional business strategy roles that focus on market expansion or new growth vectors, this role is centered on optimizing the core: improving unit economics, strengthening operational performance, and building durable systems that unlock long-term profitability. This is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. Additionally, occasional travel may be required for company or team events. What You'll Do • Strategy: Lead strategic operational efficiency initiatives by diagnosing workflow, system, and cross-functional inefficiencies and designing scalable solutions., • AI Leverage: Identify and evaluate opportunities to leverage AI and automation to improve operational efficiency, reduce cost-to-serve, and enhance scalability., • Financial Ownership: Translate margin targets into actionable operational initiatives with clear owners, timelines, and measurable KPIs., • Program Leadership: Own complex, cross-functional programs across Operations and adjacent teams (Product, Revenue, Finance, Clinical)., • Governance: Establish governance structures, milestones, and success metrics to ensure initiatives are delivered on time and at impact., • Business Case Development: Build business cases for automation, tooling improvements, vendor optimization, and process redesign., • KPI Rigor: Connect financial targets to day-to-day operations through performance dashboards, KPI rigor, and accountability cadences. What Success Looks Like in This Role • Cross-functional programs executed with strong stakeholder alignment and minimal slippage., • Margin improvement initiatives delivered on time and at target impact., • Clear operational dashboards that give leadership visibility into KPI performance., • Reduced friction across teams due to improved dependency management and governance., • A culture of accountability and execution rigor within the Operations organization. What You'll Bring • 4-6 years of experience in consulting, investment banking, corporate strategy, or strategic operations; top-tier consulting experience strongly preferred., • 1+ years of operating experience at a high-growth or scale-stage company., • Demonstrated experience leading complex, cross-functional programs with multiple stakeholders., • Proven track record driving operational or cost-efficiency initiatives tied to financial outcomes., • Understanding of how AI tools can be applied to manual processes, with the ability to evaluate ROI, risks, and change management considerations., • Strong financial fluency - comfort working with margin models, cost structures, and performance metrics., • BA or BS in any field required; MBA strongly preferred. The target base salary range for this position is $160,000 - $184,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI — with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale. You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation. 1. Existing Customer Analytics & Campaign Modeling Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns — core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance., 2. Model Risk & Regulatory Compliance Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance., 3. Financial Forecasting & Reserve Modeling Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions., 4. Generative AI Innovation Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda. Analytics & Model Leadership • Lead and direct distributed teams of data scientists and analytics professionals across geographies — covering performance management, hiring, development, and budget oversight, • Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning, • Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy, • Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning, • Build and enhance reserve models that improve financial controls accuracy and reduce volatility, • Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisions, • Serve as Model Sponsor Delegate — accountable for formal model governance, sign-off, and oversight across a large model portfolio AI Innovation & Solution Development • Drive AI-led analytics solutions for key business problems — including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational & Contextual Business Insights. Own the full AI solution lifecycle from concept to production, • Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact, • Collaborate directly with business and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges, • Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity — creating innovative solutions that streamline processes and enhance analytical capabilities across the organization, • Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision AI Governance & Controls • Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines, • Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re-engineering of business, data, and AI processes, • Engage and influence multiple Managing Director–level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal, • Ensure all analytical work adheres to applicable laws, regulations, fair lending obligations, and internal policy; proactively elevate and manage risk with full transparency Strategy, Partnerships & Team Building • Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions — building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs, • Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes, • Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance — aligned with senior leadership priorities Experience & Expertise • 10+ years in data science, quantitative analytics, or financial modeling within financial services, • Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy, • Proven track record in model risk management, regulatory remediation, or formal model governance, • Deep experience in financial forecasting, reserve modeling, or FP&A-aligned analytics, • Experience with Generative AI and Large Language Models (LLMs) in applied business contexts, • Strong background in credit risk, marketing analytics, or existing customer management, • Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution Technical Skills • Advanced AI/ML proficiency — Generative AI, supervised/unsupervised learning, optimization and time-series forecasting, • Expertise in data engineering and big data platforms, • Proficiency in Python, SQL and data visualization tools, • Familiarity with SDLC, version control (Bitbucket/GitHub) and JIRA, • Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics, • Knowledge of big data, distributed computing, Python, Spark, SQL, Excel and MLOps, • Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI and Large Language Models (LLMs), • Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending and ECOA in the context of AI/ML model deployment within a regulated financial institution Leadership & Communication • Proven ability to lead and inspire distributed, cross-functional teams, • Exceptional stakeholder management — able to engage, influence and negotiate at the Managing Director level, • Strong project management across complex, multi-workstream programs with regulatory and executive timelines, • Ability to translate technical complexity into clear, compelling narratives for senior business audiences, • Analytically creative problem-solver who thrives in ambiguous, high-stakes environments, • Strong storyboarding, PowerPoint and executive deck creation skills — able to distill complex analytical insights into crisp, board-ready presentations, • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering or Economics) required, • Master's degree or Ph.D. strongly preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Decision Management Specialized Analytics (Data Science/Computational Statistics) Full time New York New York United States $192,000.00 - $288,000.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. • medical, dental & vision coverage, • 401(k), • life, accident, and disability insurance, • wellness programs, • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Please see the requirements listed above. Aug 05, 2026 We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected by law. #J-18808-Ljbffr

Consulting AI DirectorApplylocations: USA CO Remote: USA WA Remote: USA IL Remote: USA NY Remote: USA Remotetime type: Full timeposted on: Posted Yesterdayjob requisition id: JR107280# OverviewBaker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms.Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram.Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring.*Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law.Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system.*# Job Description:# Role overviewBaker Tilly is seeking a senior consulting leader with deep applied AI expertise to define and lead the next phase of AI activation across our national consulting business. The firm has already established enterprise AI infrastructure and completed significant use-case identification. The opportunity now is to translate that foundation into a clear vision, an actionable portfolio of priorities, and measurable changes in how consulting services are delivered.This is a business leadership role—not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with architects, engineers, data professionals, security teams, and platform owners; critically evaluate proposed approaches; challenge assumptions, estimates, constraints, and tradeoffs; and direct technical requests toward the business outcomes Consulting requires. The role will partner closely with the team responsible for OpenAI Enterprise (Anthropic and other tools in consideration), ensuring that technical decisions reflect real consulting workflows, economics, priorities, and adoption needs.The successful candidate will combine consulting-business fluency, deep applied understanding of modern AI, strategic vision, commercial acumen, rigorous critical thinking, and strong executive influence. They will help practice leaders distinguish meaningful advances from market noise, envision new delivery models, understand revenue and margin implications, and prepare the consulting workforce for sustained change. They must also be comfortable constructively challenging technical teams when recommendations are insufficiently grounded in business value, user needs, practicality, or scale.# Key responsibilities## Set the vision and activation strategy Define and communicate a compelling vision for how AI should reshape Baker Tilly Consulting over the near, medium, and longer term. Translate firm strategy, market developments, and identified use cases into a prioritized Consulting AI roadmap with clear sequencing, dependencies, investment needs, and success measures. Advise consulting executives and practice leaders on where to experiment, scale, pause, or redirect effort based on business value, feasibility, risk, and organizational readiness. Maintain a strong external perspective on advances in generative AI, agentic systems, knowledge technologies, and emerging delivery models, separating durable signals from short-lived hype.## Reimagine consulting services and economics Partner with practice leaders and subject-matter experts to redesign service delivery, workflows, team structures, and client-value propositions around AI-enabled ways of working. Identify opportunities beyond labor efficiency, including improved quality and consistency, just-in-time staff training, stronger knowledge retention and dissemination, accelerated onboarding, enhanced judgment, and scalable access to expertise. Evaluate the implications of AI-enabled delivery for pricing, revenue growth, capacity, utilization, leverage models, profitability, intellectual property, and competitive differentiation. Develop business cases and decision frameworks that connect AI investments to measurable service-line and firm outcomes. Help convert high-value concepts into repeatable methods, accelerators, playbooks, and operating capabilities that can be adopted across practices.## Direct business-to-technology translation and challenge Serve as the primary Consulting business counterpart to the teams that manage enterprise AI platforms, data, integrations, security, architecture, and technical delivery. Convert consulting opportunities into clear, well-structured technical and capability requests, including business requirements, workflow context, priorities, use cases, data needs, integration needs, adoption expectations, constraints, and measurable outcomes. Apply sufficient technical depth to assess proposed architectures and delivery approaches, ask incisive questions, surface hidden assumptions, evaluate tradeoffs, and challenge recommendations that do not adequately address consulting-business needs. Hold technology partners accountable for translating technical possibilities and limitations into clear business implications, options, risks, costs, dependencies, and decisions. Coordinate with technology, innovation, risk, legal, information security, learning, and other enterprise functions to advance initiatives with appropriate controls and accountability.## Drive adoption and workforce readiness Align the Consulting AI strategy with the firm’s broader workforce upskilling, learning, talent, and change strategies. Define role-based AI capability expectations for consulting professionals, managers, leaders, specialists, and AI champions. Guide the development of practical enablement approaches, including embedded learning, workflow-based training, communities of practice, reusable knowledge assets, office hours, and leader communications. Build and mobilize a network of practice leaders, implementation leads, power users, and advocates who can translate the strategy into local action. Promote responsible experimentation while reinforcing appropriate human review, professional judgment, confidentiality, quality, and risk management.## Create operating discipline and measurable progress Establish a practical intake, prioritization, pilot, measurement, and scale process for Consulting AI initiatives. Define scorecards and KPIs that measure adoption, service-delivery impact, quality, workforce capability, revenue contribution, margin effects, and progress from pilot to scaled use. Provide clear, decision-oriented updates to Consulting leadership on progress, barriers, risks, investment needs, and business outcomes. Capture lessons learned and success stories, and use them to accelerate adoption across service lines without creating unnecessary bureaucracy.# Leadership profile Visionary but pragmatic: able to imagine materially different ways of delivering consulting services and convert them into executable priorities. Commercially minded: understands how professional services generate revenue and profit, and how changes in effort, leverage, pricing, quality, and speed affect economics. AI-fluent and technically credible: possesses deep applied knowledge of generative AI, agents, retrieval, data, integrations, model capabilities, limitations, and responsible deployment practices—sufficient to engage technical specialists, evaluate proposed solutions, and challenge weak reasoning without serving as the technical delivery owner. Business-to-technology director: can turn business strategy and consulting workflows into precise technical requests, define the outcomes and constraints that matter, and ensure technical teams remain aligned to commercial and operational value. Critical and independent thinker: tests assumptions, probes recommendations, compares alternatives, recognizes unsupported claims, and makes sound decisions when technical and business perspectives diverge. Influential and collaborative: builds trust with executives, practice leaders, practitioners, technologists, and control functions across a complex national firm. Disciplined and discerning: applies sound judgment to balance speed, innovation, professional standards, risk, and long-term scalability. Change-oriented: understands that sustainable AI activation requires shifts in behavior, skills, roles, incentives, and operating models—not merely access to tools.# What success looks like Consulting leaders share and act on a clear, credible vision for AI-enabled service delivery. A focused portfolio of priority initiatives moves from identified opportunity to adoption and scale. AI capability and technical delivery requests are precise, outcome-oriented, appropriately challenged, and aligned with Consulting priorities and enterprise platform strategy. Practices demonstrate measurable improvements in quality, speed, knowledge reuse, workforce readiness, revenue potential, and/or profit margin. Consulting professionals have practical, role-relevant ways to build AI capability and apply it responsibly in their work. Baker Tilly strengthens its competitive position by using AI to enhance expertise, judgment, client value, and scalability—not merely reduce effort.# Role scope and relationships Internal, non-client-facing leadership role supporting the national Consulting business. Works closely with Consulting executive leadership, practice leaders, AI implementation leads, Innovation, Applied AI/technology teams, Learning & Development, Talent, Legal, Risk, Information Security, and other enterprise functions. Does not own enterprise AI infrastructure, architecture, engineering, or technical operations; owns the Consulting business vision, activation agenda, prioritization, business requirements, and value realization—and provides informed direction and challenge to the technology owners.# Required qualifications Bachelor’s degree required; advanced degree or relevant professional credential preferred. 12+ years of experience in consulting, professional services, AI-enabled transformation, digital strategy, operating-model design, or a closely related field. Demonstrated experience applying AI to redesign business processes, knowledge work, service delivery, or professional workflows—not solely managing technology implementation. Strong understanding of consulting or professional-services economics, including pricing, utilization, leverage, capacity, revenue growth, and profitability. Proven ability to develop strategy, build business cases, prioritize a portfolio of opportunities, and move initiatives from concept through adoption and scale. Deep working knowledge of modern AI technologies and solution patterns, including generative AI, large language models, retrieval-augmented generation, agents, data and integration requirements, model limitations, evaluation, security, and human oversight. Demonstrated ability to engage architects, engineers, data professionals, and platform teams; frame effective technical requests; evaluate proposed approaches and estimates; identify gaps or weak assumptions; and constructively challenge technical recommendations. Exceptional critical-thinking and decision-making skills, including the ability to synthesize incomplete information, assess competing alternatives, distinguish genuine constraints from organizational preferences, and connect technical choices to business consequences. Executive-level communication, facilitation, and stakeholder-influence skills, including the ability to communicate complex AI and technology concepts in practical business terms. Experience partnering across business, technology, risk, legal, security, learning, and change-management functions. Strong judgment regarding responsible AI, data sensitivity, client confidentiality, intellectual property, human review, and quality control.# Preferred qualifications Leadership experience within a large, multi-service consulting or professional-services organization. Demonstrated experience with enterprise generative AI platforms such as OpenAI Enterprise, (Anthropic and other tools in consideration), custom GPTs, AI agents, knowledge retrieval, workflow automation, or related capabilities. Experience creating or scaling AI-enabled offerings, delivery methods, accelerators, centers of excellence, champion networks, or enterprise adoption programs. Experience leading broad workforce enablement, knowledge-management, or capability-building initiatives. A visible body of applied work, measurable outcomes, or thought leadership demonstrating the ability to turn AI possibilities into sustained business value.The pay rate range for this job position is $214,100 to $405,900. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees. #J-18808-Ljbffr

Group Vice President (GVP) and General Manager (GM), Applied Research Intelligence AI & Data Analytics Business Unit Applied Research Intelligence is positioned to become a category‑defining business that connects the world’s scientific knowledge with the decisions it can inform. As Group Vice President and General Manager, Applied Research Intelligence, you will be the commercial owner and business builder at the center of this opportunity, leading a high‑growth business focused on enterprise R&D intelligence. You will report to the Chief AI & Data Analytics Officer and lead a high‑performing commercial organization focused on turning proprietary scientific content, data assets, and AI‑enabled capabilities into scalable solutions for enterprise customers across pharmaceuticals, biotechnology, engineering, agriculture, and adjacent innovation‑driven sectors. This is a build mandate: you will have full profit‑and‑loss ownership, the authority to shape the commercial model, and the opportunity to scale a business that sits at the intersection of scientific expertise, proprietary data, and applied AI. You will be the visible, commercially accountable leader customers, cloud and technology partners, and strategic co‑development partners engage with when they want to understand the business’s direction, ambition, and ability to win in a rapidly evolving market. P&L Ownership Hold full profit‑and‑loss accountability for a consolidated Applied Research Intelligence business of approximately $100M+ in revenue, spanning content knowledge feeds, database solutions, commercial licensing and partnerships, and the newly launched Applied Research Intelligence platform. Own the revenue forecast, financial performance, and operating rhythm for all four business lines, using commercial levers to manage variance, improve predictability, and close gaps against plan. Lead the shift toward higher‑quality recurring revenue, increasing the recurring mix from 80% through platform subscriptions, data‑feed contracts, database SaaS migration, and recurring partnership arrangements. Own the operating expense budget and multi‑year investment plan across technology, product, sales, marketing, and operations, ensuring capital is deployed against clear milestones and measurable value creation. Own pricing strategy and models across all four business lines. Govern the business’s dependency on shared AI & Data Analytics platform infrastructure, including product, engineering, and data science capabilities that sit outside this role’s direct organization, ensuring commercial commitments and revenue targets are matched by platform delivery capacity, and escalating capacity or roadmap misalignment before it puts revenue commitments at risk. Exercise strong influence over the shared product/engineering roadmap, ensuring platform delivery capacity is matched to commercial commitments. Commercial Ownership Define the market and commercial strategy, customer engagement model, pricing approach, and platform readiness required to scale the business: deciding where to compete, building the commercial infrastructure to win, and converting data, content, and AI‑enabled products into durable revenue. Build a commercial team and culture suited to a business in transition: hire and develop leaders who are entrepreneurial, customer‑led, disciplined on execution, and comfortable moving from legacy content models toward scalable intelligence platforms. Corporate R&D Go‑to‑Market Lead enterprise go‑to‑market across the three target buyer archetypes: top‑tier pharma AI and data science teams; corporate R&D; and librarians and knowledge managers. Drive demand generation and account‑based marketing programs with a clear pipeline handoff rhythm that connects marketing investment directly to commercial outcomes. Develop a repeatable commercial playbook for life sciences and healthcare that can be extended into other enterprise R&D verticals. Strategic Partnerships & Competitive Positioning Own the commercial relationship and deal structure for strategic partnerships across product extensions, vertical AI applications, commercial licensing, and partner‑led distribution models. Build integration and referral partnerships across clinical decision support, pre‑clinical drug discovery, personalized medicine, education, and certification use cases. Own and evolve the IP and content‑licensing strategy, including structuring multi‑party licensing agreements and optimizing licensing yield across content and data assets. Market Intelligence & Demand Signal Serve as the primary source of enterprise R&D market intelligence for the business: translating customer conversations, partner input, evidence from the market, and competitive observations into actionable demand signals for product and data science leaders. Identify which use cases are active in customer conversations, which evidence and content‑depth questions enterprise buyers are asking, and which competitive capabilities are shaping buying decisions. Contribute to vertical selection and use‑case prioritization by providing clear commercial input on market attractiveness, buyer urgency, differentiation, and invest‑or‑do‑not‑invest decisions. Maintain awareness of adjacent customer segments and cross‑sell opportunities where enterprise R&D, knowledge management, and audience‑based buyer needs overlap, including adjacent data categories such as clinical/regulatory and other domain data relevant to enterprise R&D buyers. Experience leading commercial or product organizations within scientific, patent/IP, or regulated R&D data ecosystems (e.g., pharma, biotech, patent analytics). Proven track record as a commercial GM with full P&L ownership in a data, AI, or technology business. Experience building, scaling, and commercializing complex data, AI, knowledge/database, or technology products for enterprise buyers, including managing investment decisions against clear milestones and performance indicators. Deep enterprise go‑to‑market experience in corporate R&D markets such as pharmaceuticals, biotechnology, engineering, agriculture, or adjacent sectors; demonstrated ability to navigate technical buying processes, build trust with AI and data science teams, and close multi‑year enterprise contracts. Strong commercial fluency in data product economics, including licensing models, subscription architectures, usage‑based pricing, API monetization, and the shift from transactional revenue toward recurring, subscription‑based income. Demonstrated ability to build and lead high‑performing commercial organizations through a period of significant strategic transformation while maintaining performance in existing revenue lines. Track record of building strategic partnerships that generate near‑term commercial return. The commercial credibility and technical fluency to represent the business externally to enterprise buyers, cloud and technology partners, investment committees, and the board. A builder’s orientation: energized by creating new markets, shaping teams and operating models, testing commercial hypotheses, and scaling from early traction to repeatable growth. First‑hand experience inside a corporate R&D, IP, or scientific operations function is a strong plus. Advanced degree (MBA, PhD, or equivalent) in a scientific or business discipline preferred. Deliver 12% year‑over‑year consolidated revenue growth while continuing to expand recurring revenue by at least 10%. Shift the revenue mix so platform subscriptions, database API/SaaS offerings, and recurring licensing arrangements exceed one‑time training revenue. • We offer meeting‑free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow., • We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package., • We are proud that our workplace promotes continual learning and internal mobility., • Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well‑being of all employees. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. The range below represents Wiley’s good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non‑discriminatory factors, including but not limited to, geographic location, skills, and competencies. Salary Range: 218,900.00 USD to 328,566.66 USD #LI-JL1 #J-18808-Ljbffr

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. Applied Research Intelligence is positioned to become a category-defining business that connects the world's scientific knowledge with the decisions it can inform. As Group Vice President and General Manager, Applied Research Intelligence, you will be the commercial owner and business builder at the center of this opportunity, leading a high-growth business focused on enterprise R&D intelligence. You will report to the Chief AI & Data Analytics Officer and lead a high-performing commercial organization focused on turning proprietary scientific content, data assets, and AI-enabled capabilities into scalable solutions for enterprise customers across pharmaceuticals, biotechnology, engineering, agriculture, and adjacent innovation-driven sectors. This is a build mandate: you will have full profit-and-loss ownership, the authority to shape the commercial model, and the opportunity to scale a business that sits at the intersection of scientific expertise, proprietary data, and applied AI. You will be the visible, commercially accountable leader customers, cloud and technology partners, and strategic co-development partners engage with when they want to understand the business's direction, ambition, and ability to win in a rapidly evolving market. • Hold full profit-and-loss accountability for a consolidated Applied Research Intelligence business of approximately $100M+ in revenue, spanning content knowledge feeds, database solutions, commercial licensing and partnerships, and the newly launched Applied Research Intelligence platform., • Own the revenue forecast, financial performance, and operating rhythm for all four business lines, using commercial levers to manage variance, improve predictability, and close gaps against plan., • Lead the shift toward higher-quality recurring revenue, increasing the recurring mix from 80% through platform subscriptions, data-feed contracts, database SaaS migration, and recurring partnership arrangements., • Own the operating expense budget and multi-year investment plan across technology, product, sales, marketing, and operations, ensuring capital is deployed against clear milestones and measurable value creation., • Own pricing strategy and models across all four business lines., • Govern the business's dependency on shared AI & Data Analytics platform infrastructure, including product, engineering, and data science capabilities that sit outside this role's direct organization, ensuring commercial commitments and revenue targets are matched by platform delivery capacity, and escalating capacity or roadmap misalignment before it puts revenue commitments at risk., • Exercise strong influence over the shared product/engineering roadmap, ensuring platform delivery capacity is matched to commercial commitments., • Define the market and commercial strategy, customer engagement model, pricing approach, and platform readiness required to scale the business: deciding where to compete, building the commercial infrastructure to win, and converting data, content, and AI-enabled products into durable revenue., • Build a commercial team and culture suited to a business in transition: hire and develop leaders who are entrepreneurial, customer-led, disciplined on execution, and comfortable moving from legacy content models toward scalable intelligence platforms., • Lead enterprise go-to-market across the three target buyer archetypes: top-tier pharma AI and data science teams; corporate R&D; and librarians and knowledge managers., • Drive demand generation and account-based marketing programs with a clear pipeline handoff rhythm that connects marketing investment directly to commercial outcomes., • Develop a repeatable commercial playbook for life sciences and healthcare that can be extended into other enterprise R&D verticals., • Own the commercial relationship and deal structure for strategic partnerships across product extensions, vertical AI applications, commercial licensing, and partner-led distribution models., • Build integration and referral partnerships across clinical decision support, pre-clinical drug discovery, personalized medicine, education, and certification use cases., • Own and evolve the IP and content-licensing strategy, including structuring multi-party licensing agreements and optimizing licensing yield across content and data assets., • Serve as the primary source of enterprise R&D market intelligence for the business: translating customer conversations, partner input, evidence from the market, and competitive observations into actionable demand signals for product and data science leaders., • Identify which use cases are active in customer conversations, which evidence and content-depth questions enterprise buyers are asking, and which competitive capabilities are shaping buying decisions., • Contribute to vertical selection and use-case prioritization by providing clear commercial input on market attractiveness, buyer urgency, differentiation, and invest-or-do-not-invest decisions., • Maintain awareness of adjacent customer segments and cross-sell opportunities where enterprise R&D, knowledge management, and audience-based buyer needs overlap, including adjacent data categories such as clinical/regulatory and other domain data relevant to enterprise R&D buyers., • Experience leading commercial or product organizations within scientific, patent/IP, or regulated R&D data ecosystems (e.g., pharma, biotech, patent analytics), • Proven track record as a commercial GM with full P&L ownership in a data, AI, or technology business., • Experience building, scaling, and commercializing complex data, AI, knowledge/ database, or technology products for enterprise buyers, including managing investment decisions against clear milestones and performance indicators., • Deep enterprise go-to-market experience in corporate R&D markets such as pharmaceuticals, biotechnology, engineering, agriculture, or adjacent sectors; demonstrated ability to navigate technical buying processes, build trust with AI and data science teams, and close multi-year enterprise contracts., • Strong commercial fluency in data product economics, including licensing models, subscription architectures, usage-based pricing, API monetization, and the shift from transactional revenue toward recurring, subscription-based income., • Demonstrated ability to build and lead high-performing commercial organizations through a period of significant strategic transformation while maintaining performance in existing revenue lines., • Track record of building strategic partnerships that generate near-term commercial return., • The commercial credibility and technical fluency to represent the business externally to enterprise buyers, cloud and technology partners, investment committees, and the board., • A builder's orientation: energized by creating new markets, shaping teams and operating models, testing commercial hypotheses, and scaling from early traction to repeatable growth., • First-hand experience inside a corporate R&D, IP, or scientific operations function is a strong plus., • Advanced degree (MBA, PhD, or equivalent) in a scientific or business discipline preferred., • Deliver 12% year-over-year consolidated revenue growth while continuing to expand recurring revenue by at least 10%., • Shift the revenue mix so platform subscriptions, database API/SaaS offerings, and recurring licensing arrangements exceed one-time training revenue. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. 218,900.00 USD to 328,566.66 USD #J-18808-Ljbffr

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring. Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law. Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system. Role overview Baker Tilly is seeking a senior consulting leader with deep applied AI expertise to define and lead the next phase of AI activation across our national consulting business. The firm has already established enterprise AI infrastructure and completed significant use-case identification. The opportunity now is to translate that foundation into a clear vision, an actionable portfolio of priorities, and measurable changes in how consulting services are delivered. This is a business leadership role—not ownership of the underlying AI technology platform or technical delivery organization. The Director must bring enough technical depth to engage credibly with architects, engineers, data professionals, security teams, and platform owners; critically evaluate proposed approaches; challenge assumptions, estimates, constraints, and tradeoffs; and direct technical requests toward the business outcomes Consulting requires. The role will partner closely with the team responsible for OpenAI Enterprise (Anthropic and other tools in consideration), ensuring that technical decisions reflect real consulting workflows, economics, priorities, and adoption needs. The successful candidate will combine consulting-business fluency, deep applied understanding of modern AI, strategic vision, commercial acumen, rigorous critical thinking, and strong executive influence. They will help practice leaders distinguish meaningful advances from market noise, envision new delivery models, understand revenue and margin implications, and prepare the consulting workforce for sustained change. They must also be comfortable constructively challenging technical teams when recommendations are insufficiently grounded in business value, user needs, practicality, or scale. • Define and communicate a compelling vision for how AI should reshape Baker Tilly Consulting over the near, medium, and longer term., • Translate firm strategy, market developments, and identified use cases into a prioritized Consulting AI roadmap with clear sequencing, dependencies, investment needs, and success measures., • Advise consulting executives and practice leaders on where to experiment, scale, pause, or redirect effort based on business value, feasibility, risk, and organizational readiness., • Maintain a strong external perspective on advances in generative AI, agentic systems, knowledge technologies, and emerging delivery models, separating durable signals from short-lived hype., • Partner with practice leaders and subject-matter experts to redesign service delivery, workflows, team structures, and client-value propositions around AI-enabled ways of working., • Identify opportunities beyond labor efficiency, including improved quality and consistency, just-in-time staff training, stronger knowledge retention and dissemination, accelerated onboarding, enhanced judgment, and scalable access to expertise., • Evaluate the implications of AI-enabled delivery for pricing, revenue growth, capacity, utilization, leverage models, profitability, intellectual property, and competitive differentiation., • Develop business cases and decision frameworks that connect AI investments to measurable service-line and firm outcomes., • Help convert high-value concepts into repeatable methods, accelerators, playbooks, and operating capabilities that can be adopted across practices., • Serve as the primary Consulting business counterpart to the teams that manage enterprise AI platforms, data, integrations, security, architecture, and technical delivery., • Convert consulting opportunities into clear, well-structured technical and capability requests, including business requirements, workflow context, priorities, use cases, data needs, integration needs, adoption expectations, constraints, and measurable outcomes., • Apply sufficient technical depth to assess proposed architectures and delivery approaches, ask incisive questions, surface hidden assumptions, evaluate tradeoffs, and challenge recommendations that do not adequately address consulting‑business needs., • Hold technology partners accountable for translating technical possibilities and limitations into clear business implications, options, risks, costs, dependencies, and decisions., • Coordinate with technology, innovation, risk, legal, information security, learning, and other enterprise functions to advance initiatives with appropriate controls and accountability., • Align the Consulting AI strategy with the firm’s broader workforce upskilling, learning, talent, and change strategies., • Define role‑based AI capability expectations for consulting professionals, managers, leaders, specialists, and AI champions., • Guide the development of practical enablement approaches, including embedded learning, workflow-based training, communities of practice, reusable knowledge assets, office hours, and leader communications., • Build and mobilize a network of practice leaders, implementation leads, power users, and advocates who can translate the strategy into local action., • Promote responsible experimentation while reinforcing appropriate human review, professional judgment, confidentiality, quality, and risk management., • Establish a practical intake, prioritization, pilot, measurement, and scale process for Consulting AI initiatives., • Define scorecards and KPIs that measure adoption, service‑delivery impact, quality, workforce capability, revenue contribution, margin effects, and progress from pilot to scaled use., • Provide clear, decision‑oriented updates to Consulting leadership on progress, barriers, risks, investment needs, and business outcomes., • Capture lessons learned and success stories, and use them to accelerate adoption across service lines without creating unnecessary bureaucracy., • Visionary but pragmatic: able to imagine materially different ways of delivering consulting services and convert them into executable priorities., • Commercially minded: understands how professional services generate revenue and profit, and how changes in effort, leverage, pricing, quality, and speed affect economics., • AI‑fluent and technically credible: possesses deep applied knowledge of generative AI, agents, retrieval, data, integrations, model capabilities, limitations, and responsible deployment practices—sufficient to engage technical specialists, evaluate proposed solutions, and challenge weak reasoning without serving as the technical delivery owner., • Business‑to‑technology director: can turn business strategy and consulting workflows into precise technical requests, define the outcomes and constraints that matter, and ensure technical teams remain aligned to commercial and operational value., • Critical and independent thinker: tests assumptions, probes recommendations, compares alternatives, recognizes unsupported claims, and makes sound decisions when technical and business perspectives diverge., • Influential and collaborative: builds trust with executives, practice leaders, practitioners, technologists, and control functions across a complex national firm., • Disciplined and discerning: applies sound judgment to balance speed, innovation, professional standards, risk, and long‑term scalability., • Change‑oriented: understands that sustainable AI activation requires shifts in behavior, skills, roles, incentives, and operating models—not merely access to tools., • Consulting leaders share and act on a clear, credible vision for AI‑enabled service delivery., • A focused portfolio of priority initiatives moves from identified opportunity to adoption and scale., • AI capability and technical delivery requests are precise, outcome‑oriented, appropriately challenged, and aligned with Consulting priorities and enterprise platform strategy., • Practices demonstrate measurable improvements in quality, speed, knowledge reuse, workforce readiness, revenue potential, and/or profit margin., • Consulting professionals have practical, role‑relevant ways to build AI capability and apply it responsibly in their work., • Baker Tilly strengthens its competitive position by using AI to enhance expertise, judgment, client value, and scalability—not merely reduce effort., • Internal, non-client-facing leadership role supporting the national Consulting business., • Works closely with Consulting executive leadership, practice leaders, AI implementation leads, Innovation, Applied AI/technology teams, Learning & Development, Talent, Legal, Risk, Information Security, and other enterprise functions., • Does not own enterprise AI infrastructure, architecture, engineering, or technical operations; owns the Consulting business vision, activation agenda, prioritization, business requirements, and value realization—and provides informed direction and challenge to the technology owners., • Bachelor’s degree required; advanced degree or relevant professional credential preferred., • 12+ years of experience in consulting, professional services, AI-enabled transformation, digital strategy, operating-model design, or a closely related field., • Demonstrated experience applying AI to redesign business processes, knowledge work, service delivery, or professional workflows—not solely managing technology implementation., • Strong understanding of consulting or professional‑services economics, including pricing, utilization, leverage, capacity, revenue growth, and profitability., • Proven ability to develop strategy, build business cases, prioritize a portfolio of opportunities, and move initiatives from concept through adoption and scale., • Deep working knowledge of modern AI technologies and solution patterns, including generative AI, large language models, retrieval‑augmented generation, agents, data and integration requirements, model limitations, evaluation, security, and human oversight., • Demonstrated ability to engage architects, engineers, data professionals, and platform teams; frame effective technical requests; evaluate proposed approaches and estimates; identify gaps or weak assumptions; and constructively challenge technical recommendations., • Exceptional critical‑thinking and decision‑making skills, including the ability to synthesize incomplete information, assess competing alternatives, distinguish genuine constraints from organizational preferences, and connect technical choices to business consequences., • Executive‑level communication, facilitation, and stakeholder‑influence skills, including the ability to communicate complex AI and technology concepts in practical business terms., • Experience partnering across business, technology, risk, legal, security, learning, and change‑management functions., • Strong judgment regarding responsible AI, data sensitivity, client confidentiality, intellectual property, human review, and quality control., • Leadership experience within a large, multi‑service consulting or professional‑services organization., • Demonstrated experience with enterprise generative AI platforms such as OpenAI Enterprise, (Anthropic and other tools in consideration), custom GPTs, AI agents, knowledge retrieval, workflow automation, or related capabilities., • Experience creating or scaling AI‑enabled offerings, delivery methods, accelerators, centers of excellence, champion networks, or enterprise adoption programs., • Experience leading broad workforce enablement, knowledge‑management, or capability‑building initiatives., • A visible body of applied work, measurable outcomes, or thought leadership demonstrating the ability to turn AI possibilities into sustained business value. The pay rate range for this job position is $214,100 to $405,900. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location. Baker Tilly offers a comprehensive compensation and benefits package to eligible employees. #J-18808-Ljbffr

Job Req Id: 26980837 Location(s): New York, New York, United States, Wilmington, Delaware, United States Job Type: Hybrid Posted: Jul. 28, 2026 Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. We are looking for a seasoned, technically deep, and strategically minded leader to drive one of the most impactful analytics functions within our US Consumer Cards business. This role sits at the intersection of advanced data science, model governance, financial intelligence, and Generative AI — with end-to-end accountability across high-visibility initiatives that shape business strategy, regulatory standing, and customer outcomes at scale. You will lead a high-performing, multi-geography team, influence senior stakeholders across Marketing, Finance, Risk, Legal, and Technology, and deliver outcomes spanning revenue growth, expense savings, compliance transformation, and enterprise AI innovation. 1. Existing Customer Analytics & Campaign Modeling Lead end-to-end modeling for existing customer strategies powering large-scale direct mail and digital campaigns — core growth levers embedded in the operating plan that translate analytical rigor into measurable business performance., 2. Model Risk & Regulatory Compliance Own a firm-wide model risk remediation program covering a large portfolio of models. A board- and regulator-facing priority requiring continuous senior ownership, credit bureau attribute remediation, and full regulatory compliance., 3. Financial Forecasting & Reserve Modeling Develop next-generation financial models feeding directly into multi-year strategic plans and mid-year forecasts. Your work will reduce reserve volatility, sharpen financial controls accuracy, and inform CFO-level planning decisions., 4. Generative AI Innovation Lead the development of a GenAI-powered customer communication model, positioning the team at the forefront of the firm's enterprise AI transformation agenda. Analytics & Model Leadership • Lead and direct distributed teams of data scientists and analytics professionals across geographies — covering performance management, hiring, development, and budget oversight, • Own the design, development, and governance of predictive models and ML solutions that inform business strategy and financial planning, • Drive model risk remediation, including resolution of regulatory findings, credit bureau attribute gaps, and model redevelopment in compliance with Model Risk Policy, • Develop advanced financial forecasting models with vintage-level granularity to support accurate multi-year product-level planning, • Build and enhance reserve models that improve financial controls accuracy and reduce volatility, • Leverage large, complex internal and external datasets using advanced statistical techniques, ML algorithms, and visualization tools to drive strategic decisions, • Serve as Model Sponsor Delegate — accountable for formal model governance, sign-off, and oversight across a large model portfolio AI Innovation & Solution Development • Drive AI-led analytics solutions for key business problems — including Personalized Next Best Action decisioning engines, Campaign Analytics Platforms, and Conversational & Contextual Business Insights. Own the full AI solution lifecycle from concept to production, • Partner with stakeholders across business and technology functions to architect, prototype, and deploy scalable AI solutions that deliver measurable business impact, • Collaborate directly with businesses and technology teams to jointly develop high-impact AI solutions, combining technical expertise with business acumen to address complex, cross-functional challenges, • Conceptualize AI-powered automation and tools that accelerate internal analytics workflows and drive productivity — creating innovative solutions that streamline processes and enhance analytical capabilities across the organization, • Lead the evolution of AI-enhanced modeling techniques to accelerate development cycles and improve analytical precision AI Governance & Controls • Operationalize AI governance standards ensuring model explainability, responsible deployment, regulatory compliance, and full adherence to Model Risk Management guidelines, • Ensure teams partner with and follow control processes across Information Security, Platform Security, and Data Security while executing on next-generation re‑engineering of business, data, and AI processes, • Engage and influence multiple Managing Director–level stakeholders across Marketing, Finance, Technology, Model Risk Management, Fair Lending, and Legal, • Ensure all analytical work adheres to applicable laws, regulations fair lending obligations, and internal policy; proactively Strategy, Partnerships & Team Building • Work in partnership with business stakeholders and Analytics teams to identify, prioritize, and deliver high-impact AI solutions — building trusted partnerships that enable rapid alignment, efficient resource deployment, and direct impact on critical business needs, • Establish and lead a specialized team equipped to deliver enterprise-grade AI solutions; recruit top talent, foster a culture of innovation and experimentation, and drive non-linear outcomes, • Deliver value beyond arbitrage by establishing productivity and innovation measurement frameworks that track outcomes across business deliverables and team performance — aligned with senior leadership priorities Experience & Expertise • 10+ years in data science, quantitative analytics, or financial modeling within financial services, • Expertise in credit card rewards economics, customer behavior modeling, or a related domain at the intersection of financial modeling and product strategy, • Proven track record in model risk management, regulatory remediation, or formal model governance, • Deep experience in financial forecasting, reserve modeling, or FP&A-aligned analytics, • Experience with Generative AI and Large Language Models (LLMs) in applied business contexts, • Strong background in credit risk, marketing analytics, or existing customer management, • Experience with Model Risk Management, Fair Lending, and Compliance in a regulated financial institution Technical Skills • Advanced AI/ML proficiency — Generative AI, supervised/unsupervised learning, optimization, and time-series forecasting, • Expertise in data engineering and big data platforms, • Proficiency in Python, SQL, and data visualization tools, • Familiarity with SDLC, version control (Bitbucket/GitHub), and JIRA, • Knowledge of Deep Learning, Machine Learning, regression, decision trees, A/B testing, and business statistics, • Knowledge of big data, distributed computing, Python, Spark, SQL, Excel, and MLOps, • Knowledge of Generative AI, Retrieval-Augmented Generation (RAGs), Agentic AI, and Large Language Models (LLMs), • Knowledge of Model Risk Management frameworks, model accuracy metrics, ECOA, banking regulations, and Fair Lending rules; working knowledge of SR 11-7, SR 26-2, OCC AI guidance, CFPB, Fair Lending, and ECOA in the context of AI/ML model deployment within a regulated financial institution Leadership & Communication • Proven ability to lead and inspire distributed, cross-functional teams, • Exceptional stakeholder management — able to engage, influence, and negotiate at the Managing Director level, • Strong project management across complex, multi-workstream programs with regulatory and executive timelines, • Ability to translate technical complexity into clear, compelling narratives for senior business audiences, • Analytically creative problem-solver who thrives in ambiguous, high-stakes environments, • Strong storyboarding, PowerPoint, and executive deck creation skills — able to distill complex analytical insights into crisp, board-ready presentations, • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, or Economics) required, • Master's degree or Ph.D. strongly preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Decision Management Specialized Analytics (Data Science/Computational Statistics) Full time New York New York United States $192,000.00 - $288,000.00 • medical, • dental & vision coverage, • 401(k), • life, accident, and disability insurance, • wellness programs, • paid time off packages, including planned time off (vacation), • unplanned time off (sick leave), • paid holidays Aug 04, 2026 We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. #J-18808-Ljbffr

Redesign Health is a global venture and applied technology firm focused on building next‑generation healthcare companies. We manage venture capital and venture buyout strategies, each powered by an AI operating system and team of leading technologists, entrepreneurs, and investors. Our venture capital strategy backs exceptional founders at the earliest stage—often before an idea is fully formed—and provides first institutional capital and an unmatched degree of strategic leverage and domain expertise through exit. Our venture buyout strategy partners with proven management teams through control investments and delivers outsized value by rewiring core products and workflows with AI. Since inception in 2018, Redesign and our portfolio companies have touched the lives of more than 15 million patients, raised over $1.5 billion from premier institutional, sovereign, and strategic investors, and built distinctive partnerships with marquee healthcare organizations and senior leaders around the world. Redesign is based in New York and has offices in Bengaluru, Los Angeles, and Riyadh. As a Managing Director of New Ventures, you will back exceptional founders at the earliest stage—often before an idea is fully formed—providing first institutional capital and an unmatched degree of strategic leverage and domain expertise through launch and beyond. This role demands generative ideation, exceptional founder judgment, and the ability to sell world‑class entrepreneurs on partnering with Redesign Health. You will develop original investment theses in healthcare, identify and attract top 1% founding talent, lead co‑ideation and diligence through Investment Committee, and serve as the primary interface between portfolio founders and Redesign’s platform. The core equation: Exceptional Founders × Differentiated Concepts × Redesign’s X‑Factors = Power‑Law Outcomes. Identify white space in healthcare where AI‑native businesses can create outsized outcomes. Develop original, high‑conviction investment theses grounded in deep market understanding, clinician pain points, and structural tailwinds. Generate concepts that are bold, differentiated, and commercially viable. Validate theses through primary conversations with clinicians, operators, payers, and potential customers—not just desktop research. Draft compelling collateral that attracts world‑class founders to Redesign’s platform. Find top 1% founders and convince them that Redesign is their best path to building a generational healthcare company. Build a network that surfaces exceptional talent before anyone else sees them. Present concepts and Redesign’s strategic leverage compellingly enough that founders choose us over well‑funded alternatives. Lead a collaborative diligence process (“co‑ideation”) to transform thematic areas into venture‑scale business concepts. Evaluate concept potential and founder‑market fit with the judgment to say no quickly when conviction is lacking—time spent on mediocre opportunities is time away from exceptional ones. Stress‑test your own theses harder than anyone else will. Identify the 2–3 questions that truly matter for each investment and resolve them through primary conversations and expert input. Shepherd founders and concepts to the Investment Committee with clarity, speed, and honest representation of risks. Develop a robust pipeline of exceptional founders through proactive sourcing across VC networks, healthcare operator communities, and the broader startup ecosystem. Build and maintain deep relationships with tier‑one venture capital firms, healthcare incumbents, and strategic investors. Be the person that founders proactively seek out, VCs call for pipeline intelligence, and the industry turns to for a healthcare venture perspective. Your network is a compounding asset—invest in it every week. Act as the primary interface between portfolio founders and Redesign’s platform. Deliver the firm’s strategic leverage: domain expertise, go‑to‑market acceleration, fundraising positioning, and governance insight. Represent Redesign through a single non‑controlling board seat where appropriate. Build trusted relationships with founding teams so they proactively seek your input—be the first person they call in a crisis. Know when to lean in and when to step back; the founder’s success is the only thing that matters. Serve as a healthcare thought leader internally and externally. Teach the organization about emerging healthcare × AI opportunities—what’s interesting, why it matters, and how the market is evolving. Proactively mobilize cross‑functional teams (Venture Traction, Founder Strategy, legal, finance, technology) early in the deal process. Feed insights from founders, market conversations, and co‑ideation back into Redesign’s platform capabilities. Represent Redesign externally with the credibility and depth that makes world‑class founders want to have a conversation. • Bachelor’s degree required; MBA preferred, with a record of high academic achievement., • 10+ years of experience with a significant portion in venture capital, company building, or early‑stage investing. Direct experience evaluating founders and making investment decisions at the pre‑seed to Series A stage is strongly preferred., • Deep healthcare domain expertise with the ability to develop original investment theses across care delivery, health tech, and healthcare services., • Established network across the venture capital, healthcare operator, and startup ecosystems with a demonstrated ability to source and attract exceptional founding prospects., • Fluency in business model analysis, investment thesis development, and financial modeling., • Track record of end‑to‑end ownership—leading work from thesis to founder to investment decision with minimal oversight., • Deep connectivity to startup ecosystem with a proven ability to identify and attract generational founders., • Founder Quality Obsession: A refined, evolving sense of what “great” looks like in founding talent, including the ability to recognize the exceptional in non‑standard backgrounds. Holds the bar even when pipeline pressure creates incentives to lower it., • Speed to Kill: The ability to say no quickly—to founders, to concepts, to your own ideas. Runs a tight pipeline where nothing lingers in an uncertain state. Comfortable cutting bait despite time invested., • Commercial Instinct: Maps every concept to a specific stakeholder’s willingness to pay, understands unit economics, and senses whether a business model can scale. Academic depth paired with commercial judgment., • Big‑Swing Thinking: Aims for outsized outcomes. Generates bold concepts with conviction, even when the path is unproven. Comfortable making asymmetric bets where the upside justifies the risk., • Relationships Over Research: You spend disproportionate time with founders, VCs, operators, clinicians, and payers. You know that a few sharp primary conversations will answer questions that weeks of secondary research cannot., • Drives Results: You take initiative without over‑planning, seize opportunities, and tackle challenges with urgency and enthusiasm., • Radical Honesty: You surface risks early, communicate directly even when the message is unwelcome, and maintain strong opinions loosely held. You close loops even when the answer is no., • Partnership: The founder’s success is the only thing that matters. You subordinate process preferences to founder needs, adapt to their pace, and always ask “what does this founder need right now?” You are the first person every founder calls in a crisis., • Technology Innovator: All analytical and synthesis work — market sizing, landscaping, competitive mapping, secondary research — goes into AI systems. Your time is reserved for the irreplaceable: relationships, taste, judgment, primary conversations, and selling. You have built systems and workflows far more sophisticated than basic LLM usage and are constantly experimenting with new ways to compress months of work into weeks. #J-18808-Ljbffr

Redesign Health, New York, New York, USA Full time Hybrid Ventures Redesign Health is a global venture and applied technology firm focused on building next-generation healthcare companies. We manage venture capital and venture buyout strategies, each powered by an AI operating system and team of leading technologists, entrepreneurs, and investors. Our venture capital strategy backs exceptional founders at the earliest stage—often before an idea is fully formed—and provides first institutional capital and an unmatched degree of strategic leverage and domain expertise through exit. Our venture buyout strategy partners with proven management teams through control investments and delivers outsized value by rewiring core products and workflows with AI. Since inception in 2018, Redesign and our portfolio companies have touched the lives of more than 15 million patients, raised over $1.5 billion from premier institutional, sovereign, and strategic investors, and built distinctive partnerships with marquee healthcare organizations and senior leaders around the world. Redesign is based in New York and has offices in Bengaluru, Los Angeles, and Riyadh. About the Role: As a Managing Director of New Ventures, you will back exceptional founders at the earliest stage—often before an idea is fully formed—providing first institutional capital and an unmatched degree of strategic leverage and domain expertise through launch and beyond. This role demands generative ideation, exceptional founder judgment, and the ability to sell world-class entrepreneurs on partnering with Redesign Health. You will develop original investment theses in healthcare, identify and attract top 1% founding talent, lead co-ideation and diligence through Investment Committee, and serve as the primary interface between portfolio founders and Redesign’s platform. The core equation: Exceptional Founders × Differentiated Concepts × Redesign’s X-Factors = Power-Law Outcomes. Identify white space in healthcare where AI-native businesses can create outsized outcomes. Develop original, high-conviction investment theses grounded in deep market understanding, clinician pain points, and structural tailwinds. Generate concepts that are bold, differentiated, and commercially viable. Validate theses through primary conversations with clinicians, operators, payers, and potential customers—not just desktop research. Draft compelling collateral that attracts world-class founders to Redesign’s platform. Find top 1% founders and convince them that Redesign is their best path to building a generational healthcare company. Build a network that surfaces exceptional talent before anyone else sees them. Present concepts and Redesign’s strategic leverage compellingly enough that founders choose us over well-funded alternatives. Lead a collaborative diligence process ("co-ideation") to transform thematic areas into venture-scale business concepts. Evaluate concept potential and founder-market fit with the judgment to say no quickly when conviction is lacking—time spent on mediocre opportunities is time away from exceptional ones. Stress-test your own theses harder than anyone else will. Identify the 2–3 questions that truly matter for each investment and resolve them through primary conversations and expert input. Shepherd founders and concepts to the Investment Committee with clarity, speed, and honest representation of risks. Develop a robust pipeline of exceptional founders through proactive sourcing across VC networks, healthcare operator communities, and the broader startup ecosystem. Build and maintain deep relationships with tier-one venture capital firms, healthcare incumbents, and strategic investors. Be the person that founders proactively seek out, VCs call for pipeline intelligence, and the industry turns to for a healthcare venture perspective. Your network is a compounding asset—invest in it every week. Act as the primary interface between portfolio founders and Redesign’s platform. Deliver the firm’s strategic leverage: domain expertise, go-to-market acceleration, fundraising positioning, and governance insight. Represent Redesign through a single non-controlling board seat where appropriate. Build trusted relationships with founding teams so they proactively seek your input—be the first person they call in a crisis. Know when to lean in and when to step back; the founder’s success is the only thing that matters. Serve as a healthcare thought leader internally and externally. Teach the organization about emerging healthcare × AI opportunities—what’s interesting, why it matters, and how the market is evolving. Proactively mobilize cross-functional teams (Venture Traction, Founder Strategy, legal, finance, technology) early in the deal process. Feed insights from founders, market conversations, and co-ideation back into Redesign’s platform capabilities. Represent Redesign externally with the credibility and depth that makes world-class founders want to have a conversation. Bachelor’s degree required; MBA preferred, with a record of high academic achievement. 10+ years of experience with a significant portion in venture capital, company building, or early-stage investing. Direct experience evaluating founders and making investment decisions at the pre-seed to Series A stage is strongly preferred. Deep healthcare domain expertise with the ability to develop original investment theses across care delivery, health tech, and healthcare services. Established network across the venture capital, healthcare operator, and startup ecosystems with a demonstrated ability to source and attract exceptional founding prospects. Fluency in business model analysis, investment thesis development, and financial modeling. Track record of end-to-end ownership—leading work from thesis to founder to investment decision with minimal oversight. Deep connectivity to startup ecosystem with a proven ability to identify and attract generational founders. Founder Quality Obsession: A refined, evolving sense of what “great” looks like in founding talent, including the ability to recognize the exceptional in non-standard backgrounds. Holds the bar even when pipeline pressure creates incentives to lower it. Speed to Kill: The ability to say no quickly—to founders, to concepts, to your own ideas. Runs a tight pipeline where nothing lingers in an uncertain state. Comfortable cutting bait despite time invested. Commercial Instinct: Maps every concept to a specific stakeholder’s willingness to pay, understands unit economics, and senses whether a business model can scale. Academic depth paired with commercial judgment. Big-Swing Thinking: Aims for outsized outcomes. Generates bold concepts with conviction, even when the path is unproven. Comfortable making asymmetric bets where the upside justifies the risk. Relationships Over Research: You spend disproportionate time with founders, VCs, operators, clinicians, and payers. You know that a few sharp primary conversations will answer questions that weeks of secondary research cannot. Drives Results: You take initiative without over-planning, seize opportunities, and tackle challenges with urgency and enthusiasm. Radical Honesty: You surface risks early, communicate directly even when the message is unwelcome, and maintain strong opinions loosely held. You close loops even when the answer is no. Partnership: The founder's success is the only thing that matters. You subordinate process preferences to founder needs, adapt to their pace, and always ask "what does this founder need right now?" You are the first person every founder calls in a crisis. Technology Innovator: All analytical and synthesis work—market sizing, landscaping, competitive mapping, secondary research—goes into AI systems. Your time is reserved for the irreplaceable: relationships, taste, judgment, primary conversations, and selling. You have built systems and workflows far more sophisticated than basic LLM usage and are constantly experimenting with new ways to compress months of work into weeks. #J-18808-Ljbffr

Data is at the heart of how JPMorganChase drives innovation and competitive advantage. Join a team that turns complex, high-volume data into trusted assets that leaders can confidently use to make decisions and build new customer experiences. You will influence how data is defined, described, and governed—so it is easier to discover, interpret, and apply across analytics and artificial intelligence. This role offers meaningful visibility, cross-functional partnership, and the opportunity to shape firmwide standards through tangible delivery and rapid prototyping. As a Vice President in the Data Modernization program within Consumer & Community Banking Data & Analytics, you will lead work that makes structured and unstructured data more discoverable, interpretable, and dependable. You will define practical metadata and data domain patterns—business, technical, and operational—that help teams find, understand, and trust data at scale. You will partner with data owners and engineers to identify quality and definition gaps, prioritize fixes, and convert one‑off improvements into scalable standards. You will translate technical progress into clear narratives and measurable outcomes that support roadmap decisions and executive updates. You will operate as a hands‑on standards leader: comfortable in detailed data conversations, credible with engineers, and effective with senior stakeholders. You will balance governance and speed—setting clear expectations while enabling teams to move faster through reusable patterns, scorecards, and prototypes. You will help create the conditions for high‑quality analytics, conversational querying, and generative AI experiences by improving the "readiness" of data upstream. • Shape and drive adoption of the enterprise data readiness framework across Consumer & Community Banking business units., • Define and champion standards for business, technical, and operational metadata so data is well‑defined, discoverable, and trustworthy at scale., • Establish semantic and context standards that improve the consistency, interpretability, and reuse of data across analytics and artificial intelligence systems., • Lead profiling of priority domains to surface definitional, lineage, and data‑quality gaps, and partner with data owners to close them., • Convert one‑off fixes into repeatable, scalable enrichment patterns and mentor others to apply them., • Advise data leaders and engineers on the quality and usability improvements that create the most value across large datasets., • Build and showcase prototypes that demonstrate improved data readiness for analytics and AI‑assisted use cases, including conversational and agentic experiences., • Own readiness scorecards and key performance indicators, translating progress into inputs for maturity assessments, roadmap decisions, and executive updates., • Bachelor’s degree in a quantitative, scientific, or technical field (for example, Mathematics, Statistics, Computer Science, Engineering, or Economics), or equivalent practical experience., • Seven years of relevant experience in data science, data management, data governance, data quality, or analytics engineering, including setting standards and influencing across teams., • Deep knowledge of metadata management and data catalog tools, with emphasis on discoverability, lineage, and interpretability., • Hands‑on experience with structured and unstructured data at scale, including profiling, cleansing, standardizing, and documenting large datasets on enterprise platforms or data products., • Strong command of data quality frameworks and the ability to diagnose, measure, and drive remediation of quality issues., • Understanding of ontology and semantic/context layers, and how consistent definitions improve reuse across analytics and artificial intelligence systems., • Solid Structured Query Language (SQL) skills and analytical problem‑solving, including root‑cause investigation across large data volumes., • A first‑principles mindset that questions assumptions and ensures data makes sense in context, not just in aggregate., • Working knowledge of how conversational analytics, natural‑language querying, and agentic AI consume data, and the data conditions they depend on., • Strong attention to detail and an uncompromising commitment to accuracy., • Proven experience collaborating across product, engineering, and business teams in a regulated environment, with clear written and verbal communication for senior stakeholders., • Experience in consumer banking or another large‑scale, high‑volume data environment., • Exposure to building or governing semantic models and metrics layers for enterprise analytics., • Familiarity with data domain modeling and standardization across multiple business units., • Scripting or full‑stack skills (for example, Python) that support data profiling, enrichment, and rapid prototyping., • Applied exposure to artificial intelligence, machine learning, and generative AI concepts from the perspective of a consumer of well‑governed data. #J-18808-Ljbffr

Responsibilities About The Team Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk‑based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion. We are looking for data scientists and AI developers who will power our mission by building data products that enable and empower continuous auditing and the identification and discovery of risks throughout various verticals. You will be deploying your engineering, data analytics and data science skills to be part of the mission to build state‑of‑the‑art analytics products for the audit team. Responsibilities • Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLMAuditor (probe generation/answering cycles, human‑in‑the‑loop assessments)., • Model Evaluation & Audit Frameworks: conduct audits on the model lifecycle from training through deployment and monitoring, ensuring compliance with quality, performance, fairness, and risk‑management standards., • Risk Identification & Mitigation: identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and recommend remediation strategies., • Measurement Metrics & Statistical Validation: define and assess model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses., • Communication & Collaboration: develop and maintain collaborative working relationships with stakeholders, including data partners and owners across different business verticals. Clearly communicate technical findings, risk assessments, and recommendations to technical and non‑technical stakeholders., • Data Analytics Services: partner with auditors to provide data support and guidance for audit engagements, including conducting interviews, observing systems and operations, developing queries and testing strategies, deploying data quality checks to ensure completeness and accuracy for data sets, and deriving insights., • Data Warehousing: develop and maintain data warehouses across different business verticals to efficiently support audit engagements; implement data quality checks for key data assets and continuously collaborate with data partners to maintain completeness and accuracy of these assets., • Automation and self‑service analytics: partner with auditors to identify and analyze key risk indicators, contribute to a continuous auditing data strategy that will translate into various use cases and corresponding data solutions that can automate the evaluation of the design and effectiveness of controls; build and maintain ETL data pipelines, as well as dashboards to support the solutions., • AI‑Driven Automation and Insights: leverage machine learning and AI to automate business and audit processes, surface insights from unstructured and structured data, and extend the team’s ability to deliver actionable recommendations at scale. Develop, train, and implement proprietary machine learning and AI models, to scale up audit testing insights., • Professional Development: continue to develop and expand knowledge in data analytics practices, machine learning, AI, and company products through continuous education. Provide data training to empower the audit team to derive insights. Qualifications Minimum Qualifications • Bachelor’s degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics., • Minimum of 5 years professional experience in applied data science, machine learning engineering, or AI research, specifically working with LLMs and traditional ML models and at least 5 years practical experience of data science or analytics from the technology sector, including but not limited to B2C SaaS, media tech, e‑commerce, social media platforms, fintech etc., • Hands‑on experience in designing, deploying, and monitoring large‑scale ML models with thorough understanding of lifecycle risks and controls plus strong proficiency in SQL and Python (including libraries such as Hugging Face Transformers, TensorFlow, PyTorch, scikit‑learn), data analysis tools, and ML pipeline orchestration platforms., • Expertise in defining and assessing model performance metrics (accuracy, precision/recall, F1, calibration, robustness, fairness metrics), measurement of hallucination rates in LLMs, bias/fairness quantification, confidence scoring, and stability analyses., • Extensive knowledge of transformer‑based LLM architectures (e.g., GPT, BERT, T5, PaLM) and classical ML algorithms (e.g., regression, tree‑based methods, neural networks)., • Working knowledge of classical ML algorithms and LLM architecture and deep technical expertise in LLMs and Traditional ML and a proven track record supporting or performing AI/ML model audits or evaluations within a corporate, regulatory, or advisory context., • High oral, written, reading and listening proficiency in Mandarin is required due to system use, technical documents and frequent communication with Chinese stakeholders. Preferred Qualifications • PhD degree in a quantitative discipline, such as Mathematics, Statistics, Computer Science, Financial Engineering, Operations Research, or Economics., • Proficiency in frameworks for auditing models, including criteria like robustness, fairness, interpretability, alignment, and compliance. Familiarity with emerging LLM auditing methodologies such as LLM Auditor (probe generation/answering cycles, human‑in‑the‑loop assessments)., • Ability to analyze model design, training methods, data pipelines, and inference behaviors., • Capability to identify model vulnerabilities including bias, fairness violations, harmful hallucinations, security risks, and to recommend remediation strategies., • Experience building and maintaining data analytics solutions for continuous audit programs, including automating common analyses and recurring checks plus the ability to clearly communicate technical findings, risk assessments, and recommendations to technical and non‑technical stakeholders., • Experience with data integration, ETL processes, and large‑scale data processing systems plus working knowledge of cloud‑based infrastructure such as AWS, GCP, Azure or Snowflake; working knowledge of large scale data processing techniques, such as Hadoop, Flink and MapReduce and a good understanding of data warehouse and data modeling principles., • Front end and back end software development skills. About TikTok TikTok is the leading destination for short‑form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy – a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. TikTok Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at _. Job Information Compensation Description (Annually) The base salary range for this position in the selected city is $129,600 - $296,400 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The company reserves the right to modify or change these benefits programs at any time, with or without notice. For Los Angeles County (unincorporated) candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: • Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;, • Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;, • Exercising sound judgment. #J-18808-Ljbffr

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. Applied Research Intelligence is positioned to become a category-defining business that connects the world's scientific knowledge with the decisions it can inform. As Group Vice President and General Manager, Applied Research Intelligence, you will be the commercial owner and business builder at the center of this opportunity, leading a high-growth business focused on enterprise R&D intelligence. You will report to the Chief AI & Data Analytics Officer and lead a high-performing commercial organization focused on turning proprietary scientific content, data assets, and AI-enabled capabilities into scalable solutions for enterprise customers across pharmaceuticals, biotechnology, engineering, agriculture, and adjacent innovation-driven sectors. This is a build mandate: you will have full profit-and-loss ownership, the authority to shape the commercial model, and the opportunity to scale a business that sits at the intersection of scientific expertise, proprietary data, and applied AI. You will be the visible, commercially accountable leader customers, cloud and technology partners, and strategic co-development partners engage with when they want to understand the business's direction, ambition, and ability to win in a rapidly evolving market. • Hold full profit-and-loss accountability for a consolidated Applied Research Intelligence business of approximately $100M+ in revenue, spanning content knowledge feeds, database solutions, commercial licensing and partnerships, and the newly launched Applied Research Intelligence platform., • Own the revenue forecast, financial performance, and operating rhythm for all four business lines, using commercial levers to manage variance, improve predictability, and close gaps against plan., • Lead the shift toward higher-quality recurring revenue, increasing the recurring mix from 80% through platform subscriptions, data-feed contracts, database SaaS migration, and recurring partnership arrangements., • Own the operating expense budget and multi-year investment plan across technology, product, sales, marketing, and operations, ensuring capital is deployed against clear milestones and measurable value creation., • Own pricing strategy and models across all four business lines., • Govern the business's dependency on shared AI & Data Analytics platform infrastructure, including product, engineering, and data science capabilities that sit outside this role's direct organization, ensuring commercial commitments and revenue targets are matched by platform delivery capacity, and escalating capacity or roadmap misalignment before it puts revenue commitments at risk., • Exercise strong influence over the shared product/engineering roadmap, ensuring platform delivery capacity is matched to commercial commitments., • Define the market and commercial strategy, customer engagement model, pricing approach, and platform readiness required to scale the business: deciding where to compete, building the commercial infrastructure to win, and converting data, content, and AI-enabled products into durable revenue., • Build a commercial team and culture suited to a business in transition: hire and develop leaders who are entrepreneurial, customer-led, disciplined on execution, and comfortable moving from legacy content models toward scalable intelligence platforms., • Lead enterprise go-to-market across the three target buyer archetypes: top-tier pharma AI and data science teams; corporate R&D; and librarians and knowledge managers., • Drive demand generation and account-based marketing programs with a clear pipeline handoff rhythm that connects marketing investment directly to commercial outcomes., • Develop a repeatable commercial playbook for life sciences and healthcare that can be extended into other enterprise R&D verticals., • Own and evolve the commercial relationship and deal structure for strategic partnerships across product extensions, vertical AI applications, commercial licensing, and partner-led distribution models., • Build integration and referral partnerships across clinical decision support, pre-clinical drug discovery, personalized medicine, education, and certification use cases., • Own and evolve the IP and content-licensing strategy, including structuring multi-party licensing agreements and optimizing licensing yield across content and data assets., • Serve as the primary source of enterprise R&D market intelligence for the business: translating customer conversations, partner input, evidence from the market, and competitive observations into actionable demand signals for product and data science leaders., • Identify which use cases are active in customer conversations, which evidence and content-depth questions enterprise buyers are asking, and which competitive capabilities are shaping buying decisions., • Contribute to vertical selection and use-case prioritization by providing clear commercial input on market attractiveness, buyer urgency, differentiation, and invest-or-do-not-invest decisions., • Maintain awareness of adjacent customer segments and cross-sell opportunities where enterprise R&D, knowledge management, and audience-based buyer needs overlap, including adjacent data categories such as clinical/regulatory and other domain data relevant to enterprise R&D buyers., • Experience leading commercial or product organizations within scientific, patent/IP, or regulated R&D data ecosystems (e.g., pharma, biotech, patent analytics), • Proven track record as a commercial GM with full P&L ownership in a data, AI, or technology business., • Experience building, scaling, and commercializing complex data, AI, knowledge/ database, or technology products for enterprise buyers, including managing investment decisions against clear milestones and performance indicators., • Deep enterprise go-to-market experience in corporate R&D markets such as pharmaceuticals, biotechnology, engineering, agriculture, or adjacent sectors; demonstrated ability to navigate technical buying processes, build trust with AI and data science teams, and close multi-year enterprise contracts., • Strong commercial fluency in data product economics, including licensing models, subscription architectures, usage-based pricing, API monetization, and the shift from transactional revenue toward recurring, subscription-based income., • Demonstrated ability to build and lead high-performing commercial organizations through a period of significant strategic transformation while maintaining performance in existing revenue lines., • Track record of building strategic partnerships that generate near-term commercial return., • The commercial credibility and technical fluency to represent the business externally to enterprise buyers, cloud and technology partners, investment committees, and the board., • A builder's orientation: energized by creating new markets, shaping teams and operating models, testing commercial hypotheses, and scaling from early traction to repeatable growth., • First-hand experience inside a corporate R&D, IP, or scientific operations function is a strong plus., • Advanced degree (MBA, PhD, or equivalent) in a scientific or business discipline preferred., • Deliver 12% year-over-year consolidated revenue growth while continuing to expand recurring revenue by at least 10%., • Shift the revenue mix so platform subscriptions, database API/SaaS offerings, and recurring licensing arrangements exceed one-time training revenue. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Salary Range:218,900.00 USD to 328,566.66 USD#LI-JL1 #J-18808-Ljbffr

Senior Distinguished Engineer, AI Compute (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. \n \n You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. \n \n In this role, you will : \n\n • \n Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform \n • \n Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics \n • \n Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows \n • \n Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models \n • \n Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions \n • \n Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions \n • \n Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities \n • \n Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool \n\n Capital One is open to hiring a Remote Employee for this opportunity \n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications : \n\n • \n Master’s Degree in Computer Science or a Master’s Degree in Software Engineering \n • \n Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) \n • \n Experience building platforms that support LLM training, fine-tuning, or high-throughput inference \n • \n Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies \n • \n History of upstream contributions to major distributed systems projects \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Description Do you want to leverage your expertise in translating innovative science into impactful products to improve the lives and work of over a million people worldwide? If so, People eXperience Technology Core Science team would love to discuss how you can make that a reality. Our team is an interdisciplinary team that uses behavioral science, statistics, and machine learning to identify products, mechanisms, and process improvements that enhance Amazonians' well-being and their ability to deliver value for Amazon's customers. We collaborate with HR teams across Amazon to make Amazon PXT the most scientific human resources organization in the world. In this role, you will spearhead science design and technical implementation innovations across our talent solution science work-streams. You'll enhance existing models and create new ones, empowering leaders throughout Amazon to make data-driven business decisions. You'll collaborate with scientists and engineers to deliver solutions while working closely with business stakeholders to address their specific needs. Your work will span various business domains (corporate, operations, safety) and analysis levels (individual, group, organizational), utilizing a range of modeling approaches (linear, tree-based, deep neural networks, and LLM-based). You'll develop end-to-end ML solutions from problem formulation to deployment, maintaining high scientific standards and technical excellence throughout the process. As an Applied Scientist, you'll also contribute to the team's science strategy, keeping pace with emerging AI/ML trends. You'll mentor junior scientists, fostering their growth by identifying high-impact opportunities. Your guidance will span different analysis levels and modeling approaches, enabling stakeholders to make informed, strategic decisions. If you excel at building advanced scientific solutions and are passionate about developing technologies that drive organizational change in the AI era, join us as we work hard, have fun, and make history. Key job responsibilities Key job responsibilities - Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools - Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation - Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency - Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact - Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization - Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact - Documentation & Influence: Publish technical papers, create documentation, and influence both technical and non-technical audiences About the team The People eXperience and Technology (PXT) Core Science Team uses science, engineering, and customer-obsessed problem solving to proactively identify mechanisms, process improvements, and products that simultaneously improve Amazon and Amazonians' lives, wellbeing, and value of work. As an interdisciplinary team combining talents from machine learning, statistics, economics, behavioral science, engineering, and product development, the Core Science team develops and delivers measurable solutions through innovation and rapid prototyping to accelerate informed, accurate, and reliable decision-making backed by science and data. We are building a talent intelligence layer - fusing natural language understanding, network science, and large-scale predictive modeling into a unified platform that continuously learns from how people work, collaborate, and grow across one of the world's largest and most complex workforces. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Job Description Apply now Requisition Number: 53214 Job Location: New York, USA Global Grade: Band 6 Work Type: Hybrid Working Employment Type: Permanent Posting Start Date: 06/08/2026 Posting End Date: 28/11/2026 Job Description: Job Summary We are seeking an individual to join the Financing Solutions Americas team at Standard Chartered Bank in New York. The successful candidate will partner with senior originators and cross-functional stakeholders to provide strategic financing advisory services to clients across North America and Latin America. The Associate Director will analyze complex financing opportunities, evaluate capital structure alternatives, assess market conditions, and develop strategic financing recommendations that support clients' business objectives. The role serves as a trusted advisor throughout the transaction lifecycle by providing consultative guidance on financing strategies, transaction structuring, and market opportunities while collaborating closely with internal product partners and external stakeholders. Key Responsibilities Provide strategic advisory services to clients and internal stakeholders regarding capital structure alternatives, financing strategies, and capital markets solutions. Analyze client financing needs and develop recommendations tailored to their strategic and financial objectives. Evaluate financing alternatives by assessing market conditions, transaction structures, industry trends, and capital market opportunities. Advise transaction teams on optimal financing structures and execution strategies for complex lending and capital markets transactions. Conduct comprehensive market assessments and comparable transaction analyses to support financing recommendations. Develop analytical models and financial evaluations to assess transaction feasibility, financing alternatives, and potential risks. Prepare strategic presentations, financing recommendations, and executive-level materials for clients and senior management. Provide consultative guidance regarding transaction structuring, pricing considerations, syndication strategy, and capital deployment. Collaborate with internal business partners including Risk, Legal, Compliance, Syndicate, and Coverage teams to develop integrated financing solutions. Serve as an advisor to relationship managers and product partners throughout the financing process. Provide strategic recommendations that facilitate informed decision-making across multiple stakeholder groups. Support clients throughout financing transactions by offering consultative insight into financing options and evolving market dynamics. Support financing transactions from initial opportunity assessment through execution by providing strategic analysis and advisory input. Coordinate with internal and external stakeholders to facilitate efficient transaction planning and execution. Assist in preparing transaction documentation, client presentations, and financing materials while ensuring consistency with the overall financing strategy. Day to Day Tasks Evaluate financing opportunities and prepare strategic analyses supporting client recommendations. Develop financial models to compare financing alternatives and assess transaction scenarios. Monitor capital markets and industry developments to identify emerging financing opportunities and market trends. Conduct transaction analysis, industry research, and risk assessments to support financing recommendations. Prepare executive summaries, market updates, and advisory presentations for internal and external stakeholders. Collaborate with cross-functional teams to evaluate financing structures and recommend solutions aligned with client objectives. Support strategic planning discussions related to financing transactions and capital deployment. Assist in developing client-facing recommendations regarding financing strategies and transaction alternatives. Coordinate with internal teams to facilitate timely execution while providing ongoing analytical and consultative support. Our Ideal Candidate Bachelor's degree in Finance, Economics, Business, Accounting, or related field required. MBA or advanced business degree preferred. Strong background in corporate finance, capital markets, structured finance, or investment banking. Demonstrated ability to analyze complex financial transactions and develop strategic recommendations. Experience advising clients or senior stakeholders on financing alternatives and transaction strategies. Strong analytical, consulting, and problem-solving skills. Excellent written and verbal communication skills with the ability to present strategic recommendations to senior management. Ability to collaborate across multiple business functions and manage complex stakeholder relationships. About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Recruitment Assessments Expected annual base pay range for the role is 147, 000 USD to 210,000 USD. The final offer will be determined on an individualised basis using a number of variables, including but not limited to skill set, depth of experience and education, internal relativity, and specific work location. At Standard Chartered Bank, Base pay is only part of the total compensation package. Discretionary variable pay and a range of attractive bank sponsored benefit programs are available and designed to foster employee overall health and well-being including, but not limited to, a best in class 401k plan with up to 8% employer match, robust medical plan coverage with employer funded Health Savings Accounts, inclusive family building benefits, and flexible/hybrid working arrangements for many of our positions subject to role specific considerations. Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process. Visit our careers website www.sc.com/careers Apply now Information at a Glance Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. Insights & Analytics ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. We are seeking a Forecasting Decision Analytics Consultant with strong analytical capabilities, client presence, and experience developing forecasting solutions. This role combines forecast modeling, AI/advanced analytics, and direct client engagement, with opportunities to lead global teams and influence high-impact business decisions. What You'll Do Lead and execute forecasting and decision analytics projects, including commercial demand forecasting and broader strategic use cases Develop and deploy advanced forecasting models (epidemiology-based, patient-based, trend-based) and AI/ML-driven solutions Translate complex, ambiguous business problems into structured analytical frameworks and actionable insights Synthesize diverse data sources (market, patient, epidemiology, clinical, and secondary research) to inform forecasting assumptions and recommendations Engage directly with clients and senior stakeholders, serving as a trusted advisor with strong in-room presence Manage and mentor global, cross-functional teams (including offshore teams and business analysts), ensuring high-quality delivery across workstreams Lead end-to-end project execution, from scoping through model build, validation, and executive-level presentation Build and present executive-ready deliverables, including forecasting models, scenario analyses, and strategic insights decks Apply AI-led thinking and innovative approaches to improve forecasting accuracy and decision-making Maintain expertise in pharmaceutical markets, therapeutic areas, and global market dynamics (US, EU, Japan, emerging markets) What You'll Bring MBA with a bachelor's (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 6-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA Strong expertise in commercial demand forecast modeling, AI/ML, or quantitative analysis Proven ability to solve complex, ambiguous business problems Experience working directly with clients and senior stakeholders Track record of collaborating with or managing global, cross-functional teams Strong data synthesis, communication, and storytelling skills Fluency in English Client-first mentality Intense work ethic Collaborative spirit and problem-solving approach How you'll grow: Cross-functional skills development & custom learning pathways Milestone training programs aligned to career progression opportunities Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

The Veterans Associate Program (VAP) is an elite 13-week rotational program designed for recently transitioned veterans. VAP offers veterans the opportunity to rotate through multiple desks and groups across our Global Banking & Global Markets. Historical VAP rotational placements have included: Investment Banking, Capital Markets, Commercial Banking, Sales & Trading, Research, Public Finance, Prime Brokerage, Municipal Banking & Markets. VAP 2027 takes place in New York City in the Spring March 8, 2027 June 4, 2027. The VAP model is highly engaging and programmatically structured: • One week of formal intense technical, organizational structure, divisional/business and soft skill set developmental training, • Two six-week rotations, • Combination of classroom instruction, e-learning modules, educational speaker series, case studies and presentations from/to line of business throughout program, • Mentorship and access across the entire bank, • Peer and professional networking throughout the full cycle of the program Veterans will receive on-the-job training, market compensation and be immersed in day-to-day industry experiences. The program allows participants to explore new career opportunities in the financial services industry while working at one of the world's leading financial institutions. Our veterans will work on cutting-edge problems and help develop innovative solutions in all aspects of client coverage and deal execution including: • Adhering to the highest degree of professional standards and strict client confidentiality, • Coordinating the activities of team members and clients with minimal supervision while taking on new responsibilities, • Building relationships and facilitating the information flow across a wide array of products and businesses, • Conducting industry and product research, database maintenance and/or writing reports, • Preparing pitch books, live deal materials and economic and market updates, • Pitching new business, • Analyzing detailed corporate and financial information, as well as conducting due diligence, • Performing complex financial modeling & valuation work (discounted cash flow, pro forma merger, precedent transaction, comparable company analysis, etc.), • Idea generation and seeking out new, value-added, and/or unusual sources of information Applicants must be available to participate in the full duration of the program in New York City. Current geographic deployment is not factored into programmatic approach and design (domestic or abroad). No exceptions will be granted. Applicants should consider their long-term career interest in financial services and whether this type of program is best suited to those interested. Veterans considering and/or have already applied to business school are encouraged to apply through our campus MBA recruiting efforts. Veterans seeking immediate hire for open roles at the bank should apply through our lateral recruiting efforts and will not be considered for this program. A full list of all bank career opportunities can be found at bankofamerica.com/careers. Program participants who are extended Full-Time offers at the completion of this 13-week program must be prepared to begin work on or about July 19, 2027. Veterans may also be required to complete Summer & Full-Time Training in July 2027 as part of Program Management for new incoming Associates. Market specific specialized licensing and certification may be mandatory post completion of the program (depending on LOB and role including but not limited to Series 7, 55, 63, 79). All rotations during VAP and Full-Time placements will either be in the New York or New Jersey regions. VAP candidates must demonstrate a combination of relevant experience, ability to multi-task various projects concurrently, adaptability in an ever-changing market driven environment, strong interest in global financial markets, academic aptitude, track record of superior performance in extracurricular and professional activities, and strategic/creative thinking. Some common driving characteristics we look for include team focus, decisiveness, initiative, strong work ethic, highly motivated, assertiveness, dynamic, ability to grasp concepts quickly. Required: • BS/BA degree with outstanding academic qualifications, • Complete with Active Military commitment within the past five years and / or currently serving in the Military Reserves or National Guard required, • Commissioned officer or strong enlisted members, • Strong quantitative / analytical skills; numeric and problem-solving orientation, • Organizational skills, • Attention to detail, • Distinguished verbal and written communication skills, ability to present complex material in a simple manner, • Strong interpersonal skills and interest in working with clients (majority of roles are client facing and/or require an interest in facing off with clients), • Proficiency in Microsoft Office programs (emphasis on Excel and PowerPoint); and familiarity with market data sources a plus Enhancing skills: • Degree concentrations in Finance, Economics, Applied Mathematics, Physics, Engineering, Computer Science, Statistics or Finance-related degree desired, • Understanding of accounting, financial modeling, and corporate finance (job specific), • Working knowledge of financial statements, • Some roles may require knowledge of at least one programming language (including but not limited to Java, C, C++, Scala, Perl, R, Slang, etc.), In these cases, experience in statistics or machine learning a plus, • Database including NoSQL or column stores and data visualization experience also a plus Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - NY - New York - 115 W 42nd St - BANK OF AMERICA TOWER AT ONE BRYANT PARK (NY5362)Pay and benefits informationPay range$40.06 - $40.06 hourly pay, offers to be determined based on experience, education and skill set.Predictable payThis role is compensated with a base salary and is not incentive eligible.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. WPP is a single company: four operating units, four regions, four practices all united by one platform, WPP Open. This is a WPP that is simpler to work with and built to win. WPP's practices give client teams direct access to capability in high-growth areas of marketing and a practice only delivers on that promise when it runs as one: shared standards, shared data, shared measurement, and an operating model that works every day across agency brands and operating units. The Global Operations Lead is the operational engine of WPP's Social Influencer Practice. Reporting to the Global President, Social Influencer, this leader translates the practice's strategy into a working operating system across WPP Media and WPP Creative: integration delivery, standards, data and measurement alignment, talent operations, technology adoption and governance. Where the Global President sets the vision, holds the standard and leads the practice in the market, this leader makes it real building the machinery that turns a network of distributed capability into one joined-up proposition for clients. This is a build role. The operating system for the practice does not yet exist; the person in this seat will design it, stand it up, and run it working through influence across agencies and operating units they do not directly control, with the pragmatism to ship and the discipline to scale. The role is based in New York. Social and influencer capability at WPP is distributed by design: social-first creative, community management and influence teams inside the group's creative agencies including VML, Ogilvy and AKQA and paid social, influencer commerce, investment and measurement inside WPP Media, alongside specialist and regional teams. The practice exists to connect client teams with the best of all of it, regardless of agency brand or operating unit. The Global Operations Lead builds and runs the machinery behind that promise: the operating model, the standards, the data and measurement spine, the talent operations and the governance rhythm that let the practice function as one without flattening what makes each agency distinctive. • Practice operating model design, build and run the operating model that connects social and influencer capability across WPP Media and WPP Creative roles, interfaces, decision rights and ways of working in service of the practice strategy set by the Global President., • Cross-network integration delivery deliver the integration: align offer standards, data, measurement, talent and best practice into a single operating system for the discipline, working through influence across agencies, markets and operating units., • Data, measurement & standards build the practice's measurement spine: common taxonomies, influencer measurement frameworks that connect investment to business outcomes, benchmarks, and quality standards applied consistently across the network., • WPP Open adoption operationalize WPP Open and Open Intelligence in the practice's workflows driving adoption across agencies and markets, and ensuring the platform is how the practice identifies influencers, optimizes investment and proves impact in daily practice, not just in principle., • Governance & performance run the practice's governance rhythm including support of the WPP Executive Steering Committee with clear performance reporting on practice growth, adoption and integration, and early escalation of strategic and delivery risks., • Talent & capability operations map capability across the network, coordinate casting and resourcing for major client opportunities, and build the enablement engine training, playbooks and communities of practice that raises the standard everywhere., • Commercial & operational discipline bring commercial rigor to how the practice runs: pipeline visibility, resource utilization, vendor and tooling management, and support for pricing and commercial decisions on major opportunities. Stand up the practice's operating model and deliver the cross-network integration behind it. Define how work flows between creative agencies, WPP Media and specialist teams; where decisions sit; and how the practice engages client teams so clients experience one joined-up social and influencer proposition rather than a patchwork. Own the practice's data and measurement architecture: shared taxonomies, influencer measurement frameworks tied to commercial outcomes, benchmarking, and consistent quality standards. Make measurement the connective tissue that lets the practice prove impact to clients and to WPP leadership. Turn platform strategy into daily practice. Drive adoption of WPP Open and Open Intelligence across the practice's workflows, manage the influencer tooling and marketplace stack, and ensure AI-enabled ways of working agentic workflows, generative content operations are embedded, governed and scaled. Run the operating rhythm of the practice: leadership cadence, support of the WPP Executive Steering Committee, performance reporting on growth and adoption, and risk identification and escalation. Ensure the practice is never managed by surprise. Build the capability map, casting and resourcing coordination, and enablement engine for the practice training, playbooks, best-practice sharing and communities of practice that connect exceptional people to the work where they can have the greatest impact. Run the practice with commercial rigor and operational discipline: pipeline and utilization visibility, vendor and contract management, and the operational support behind pricing and commercial decisions so growth ambition is matched by sound economics. WPP assesses, develops and promotes its enterprise leaders against eight leadership dimensions the character of the WPP Enterprise Leader. Candidates for this role will be evaluated against these dimensions, and the successful leader will be expected to model them across the network. • Transformational Leads change with vision, courage and conviction and earns trust in how the change is led, not just what is changed. Sees what's next before it's obvious and brings people with them., • Talent First Leads through service to the team and the client. Multiplies the impact of others rather than concentrating it in themselves. Builds benches, not bottlenecks., • Accountable Owns outcomes, honours commitments, and takes the call when it's hard. No drift, no delegation of difficult truths. Action-oriented; biased toward the move., • Growth Mindset Learns fast, adapts faster, and gets better on purpose. Treats setbacks as feedback, not verdict and creates the psychological safety for others to do the same., • Adaptable Navigates ambiguity with calm. Flexes style, pace and approach to fit the moment, the market and the client without losing the line., • Commercially Capable Fluent in the economics of our clients and our business. Drives sustainable, profitable growth not just revenue. Operationally capable, rises to the occasion, and never settles., • Client Obsessed Starts and ends with the client. Clients feel partnership, not vendor and they say so, without being asked. Maintains momentum on what matters most to them., • "One Wpp" Operator Humble, enterprise-first thinking. Puts the whole of WPP ahead of the part. Leaves teams, businesses and the institution better than they found them., • 12+ years in operations, transformation or practice management within marketing, media, agency, platform or consulting environments, with significant global scope, • Proven track record designing and running operating models across complex, federated or matrixed organizations delivering integration through influence rather than direct control, • Deep fluency in social and influencer marketing operations: workflows, tooling, marketplaces, content operations and campaign delivery at scale, • Strong data and measurement grounding: taxonomies, measurement frameworks connecting marketing investment to business outcomes, and benchmarking across markets, • Hands-on experience driving marketing technology and AI-enabled operations adoption at scale platform rollouts, agentic and generative workflows, and the governance around them, • Program leadership credentials: large, multi-

The Strategy Alignment and Business Acumen (SABA) team builds business simulations and models that sit at the heart of many BTS experiences. Our simulations help leaders visualize their role in their company's strategy and understand how their decisions move the business. As a Business Analyst in a Strategy & Business Modeling (SBM) role, you'll participate in discovery interviews, co-create the design of the simulation experience, build both the client participant facing UX and the model, and facilitate the simulation experience for client audiences. You'll also help shape how AI shows up inside the experiences themselves: including bespoke chatbots and custom agents. BTS is also using its unique expertise in business modeling to partner with our clients to help them adopt AI throughout the organization. As an SBMer, you will be one of the go-to experts within BTS to facilitate live working sessions with clients to help participants map their workflows to build their own agentic workflows and applications. This work is fast paced - you'll be staffed on multiple projects at once, across different industries, with different internal teams. • Participate in discovery interviews with client stakeholders and translate what you hear into a gamified model of how their business runs, • Design and build business simulations and models and an expanding set of AI tools that let us prototype and ship faster than we ever could before, • Build AI components into our experiences including practice bots and coaching agents, • Co-create the simulation design with the client so the experience hits their objectives, • Deliver, facilitate, and present the end solution to client teams from front-line managers up to the C-suite, • Help leaders make sense of complex business models by presenting simplified, yet realistic models rich with tradeoffs that matter, • Train clients on the AI tools we leave behind so the work keeps creating value after the workshop ends, • Help leaders see how their decisions ripple through the business and the impacts they have, • Bring strong business and financial expertise to every engagement so the model reflects what matters in the client's world, • Contribute to a fast-moving point of view on how AI changes businesses and how BTS uses and delivers it to clients, • Analyze simulation data and provide real world insights back to the client Curiosity. Resourcefulness. A humble and inclusive spirit. These are core attributes of BTS all-stars. On top of that, this role needs: • Strong business and financial acumen and a love for problem solving, • Business modeling and Advanced Excel skills are a must, • Genuine comfort using AI to build things. You already use AI tools in your daily work, you know how to prompt well, and you understand what an AI model is doing under the hood, • A bias toward action and a habit of keeping up with the AI landscape it shifts fast, and this role requires staying current, • Strong presentation and facilitation skills. You're comfortable in front of a room from front-line managers to the C-suite and can hold the conversation while a complex model is on screen, • A workflow mindset. You understand that AI is only powerful when workflow surrounding the tools change., • Comfort with ambiguity. This role is still taking shape, and the right person will help define it, • Bonus: some scripting or coding experience (Python, VBA, or similar) you don't need to be a software engineer, but if you can write a script when one is needed, that goes a long way, • Backgrounds in engineering, finance, science, math, computer science, or economics are well-suited, though we have team members from all kinds of backgrounds and we love variety, • Bachelor's degree or equivalent experience, • Strong written and verbal communication skills, • Willingness to travel 25-30%, • Eligibility to work in the US permanently without sponsorship BTS is not a consultancy that bolted on an AI practice. We are a 1,200-person global performance transformation firm that has spent 40 years helping the world's leading companies turn strategy into results through their people. Our applied AI work is built on this foundation: technology only creates value when people change how they work. Work with extraordinary clients. Our clients include over 40 of the world's 100 largest corporations across every major industry. You'll work on problems that matter at real scale. Work near the frontier. BTS has growing relationships with leading AI labs. As the practice matures, there will likely be opportunities to co-build and co-deliver alongside them. Freedom and responsibility. BTS is a flat organization where people lead projects and shape their own work from an early stage. Hybrid by design. We feel that regularly working together in the office is the best situation for career development, so we're not hiring remote employees at this time. We do have a hybrid environment where you can work from home a few days a week. Salary Information Annual Salary Range: $75,000 - $90,000 • This range is for Business Analyst and Senior Business Analyst, and Consultant level roles. Starting salary is determined by experience and education/degree level.

We are seeking a highly motivated and analytical US Rates Strategist to join our dynamic Treasury Trading team. The successful candidate will be responsible for developing and articulating macro and micro investment strategies across the US interest rates spectrum. This role is integral to the trading desk, requiring close collaboration with traders to generate actionable trade ideas, provide in-depth market analysis, and contribute to the overall profitability of the business. The ideal candidate will possess a strong quantitative background, a deep understanding of fixed income markets, and the ability to thrive in a fast-paced, high-pressure environment. Key Responsibilities • Market Analysis & Strategy Development:, • Conduct comprehensive analysis of macroeconomic data (e.g., inflation, employment, GDP), geopolitical events, and monetary policy to forecast the direction of US interest rates., • Monitor and interpret Federal Reserve communications, policy decisions, and their implications for the yield curve and related markets., • Develop and maintain quantitative models and analytical frameworks to identify relative value opportunities and mispricings in US Treasury securities (bonds, notes, bills), interest rate swaps, futures, and options., • Trade Idea Generation & Communication:, • Generate and articulate clear, concise, and actionable trade ideas for the Treasury trading desk., • Produce high-quality written research, including daily market commentary, thematic deep-dives, and ad-hoc analysis for internal distribution., • Present market views, strategic outlooks, and specific trade recommendations to traders, sales teams, and senior management., • Collaboration & Desk Support:, • Work directly with traders on the desk to refine trade ideas, structure positions, and manage risk., • Provide real-time analysis and commentary on market-moving events and data releases., • Assist in the development of new analytical tools and processes to enhance the desk's trading capabilities., • Client Interaction (Potential):, • Engage with institutional clients to discuss market views, present investment strategies, and build the firm's franchise., • Contribute to client-facing publications and marketing efforts. Qualifications & Requirements A. Essential Qualifications: • Experience: 3-7+ years of experience in a rates strategy, fixed income research, or macro-focused role at an investment bank, hedge fund, or asset manager., • Education: Bachelor's degree in a highly quantitative field such as Finance, Economics, Mathematics, Statistics, Physics, or Computer Science. A Master's or PhD is strongly preferred., • Product Knowledge: Deep expertise in US interest rate markets, including cash Treasuries, futures, options, and swaps. A thorough understanding of fixed income mathematics and yield curve dynamics is essential., • Quantitative Skills: Strong quantitative, analytical, and problem-solving skills. Proven experience in building and maintaining financial models., • Technical Skills: Proficiency in programming and data analysis using Python (with libraries like pandas, NumPy, SciPy) and/or R. Experience with database querying (SQL) is also required., • Data Proficiency: Experience with financial data providers such as Bloomberg, Reuters, and Haver Analytics. B. Desirable Skills & Experience: • A proven track record of generating profitable trade ideas., • Experience with advanced statistical and machine learning techniques applied to financial time-series data., • Excellent written and verbal communication skills, with the ability to distill complex topics into clear and actionable insights., • Ability to perform under pressure and manage multiple tasks in a fast-paced trading floor environment., • Strong interpersonal skills and a collaborative, team-oriented mindset.

Apply 26977072 New York, New York, United States Hybrid Jul. 20, 2026 Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services and this is the role that leads it. The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role one with the budget, the mandate, and the organizational reach to make it real. You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade. Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched. This role reports directly to the Head of COO Technology. Responsibilities: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform reusable models, tooling, guardrails, evaluation frameworks, and accelerators that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Serve as the senior AI executive point of contact for COO function leads partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences including COO, CIO, and regulatory stakeholders Develop executive-level communications steering committee materials, portfolio dashboards, and milestone tracking that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget (~$200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design: Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Deep familiarity with financial services operations and the regulatory landscape particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems. Banking operations at this scale generate AI challenges that simply do not exist elsewhere legacy system integration, regulatory auditability requirements, multi-jurisdictional data constraints, and the need for explainability in consequential decisions. If you want to solve problems that matter and that are genuinely difficult, this is the role. Executive visibility and sponsorship. This role has CIO and COO-level visibility, a clear organizational mandate, and the budget to execute without delay. Strategic partnerships. Collaborate directly with Google, Anthropic, and leading cloud AI providers to design and deploy core platform capabilities at scale. Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ------------------------------------------------------ Technology ------------------------------------------------------ Applications Development ------------------------------------------------------ Full time ------------------------------------------------------ New York New York United States ------------------------------------------------------ $250,000.00 - $500,000.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Please see the requirements listed above. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ ------------------------------------------------------ We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents AI Notice and Right ( opens in new window) ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi ( opens in new window) . View Citi's EEO Policy Statement ( opens in new window) and the Know Your Rights ( opens in new window) poster. Apply

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS. ZS's Provider Industry Vertical builds capabilities for Hospitals and Health Systems to strengthen, diversify and scale their business through data, analytics, technology and human ingenuity. Example projects include designing and running a population health / value-based care analytics capability, building and commercializing digital solutions for the broader community to reduce care gaps, launching a provider-sponsored health plan, patient identification for clinical trials, and many others. • Play a critical role in the decision making for healthcare leaders, by analyzing clinical data to identify trends and actionable insights, • Analyze clinical data to identify trends, ensure data quality, and support healthcare providers and administrators with actionable insights, • Leverage quantitative skills to derive answers to provider clients' ongoing business analytics and reporting questions, • Collaborate with hospital and health system clients to identify their specific business information needs and develop a targeted plan to analyze the data required to address those needs effectively, • Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis, • Evaluate, assess and analyze the data necessary to provide solutions to the client's particular business information needs, • Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used, • Gain immediate familiarity with client's internal processes, • Develop expertise within a client analytics area, • Be available for clients during regular working hours, • Master's degree in a quantitative, analytical discipline, such as operations research, applied mathematics, management science, data science, statistics, econometrics, or engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute, • 7+ years of experience in electronic health records (EHR) or electronic medical record (EMR) systems, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA), • High motivation, good work ethic, maturity and personal initiative, • Aptitude for, and enjoyment of, leading and managing teams, • Effective oral and written communication skills that enable personal impact with senior-level decision makers, • Strong attention to detail, with a quality-focused mindset, • Analytic problem-solving skills, with a creative and innovative outlook, • Client service orientation, • Cross-functional skills development & custom learning pathways, • Milestone training programs aligned to career progression opportunities, • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. Hybrid working model: We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systemsthe ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Work Authorization: This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship. To complete your application: An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Chicago, Florida, New York, San Francisco Point72 Academy 2026 Investment Analyst Program for Experienced Professionals We're training the next generation of Point72 discretionary investment professionals. The Point72 Academy Program is a ten-month paid training program designed to introduce you to the buy-side and prepare you for a potential career as a Fundamental Equities Financial Analyst at Point72. Upon successfully graduating from the Academy, you will have the opportunity to be placed in a role on a long/short equity investing team. As an analyst at Point72, you will benefit from our mentorship culture and ongoing professional development resources that are dedicated to your continued growth beyond the Academy. What You'll Do: Learn the fundamental research and analysis skills needed to be an analyst at Point72 and apply intellectual curiosity in a role that values creativity, autonomy, and analytical rigor. • Develop sophisticated company analysis and modeling skills from our Academy faculty, investment professionals and professors from some of the world's leading universities., • Learn statistics, accounting, financial modeling, data analysis, coding, and more., • Complete a compliance training curriculum to prepare you for an analyst role., • For all Academy Associates, at least a portion of this training will take place in our New York City office., • Apply the skills you've developed to real-life situations as you rotate with two investing teams., • Gain firsthand experience and valuable mentorship from our investment professionals during your rotations. Upon Successful Graduation: The Analyst Role Upon the successful completion of the Academy, you'll have the opportunity to interview for an equity research analyst role at Point72, where you'll work closely with your portfolio manager and team to develop a deep understanding of companies across industries and around the world. Through fundamental research and financial analysis, you'll attempt to see change before it happens and turn those insights into actionable investment ideas. You can apply your financial acumen and curiosity to help shape your team's investment strategies as you: • Develop sophisticated financial models to help you understand the businesses you cover and how they are changing, • Perform fundamental research; attend industry events, interact with sell-side research analysts and sales professionals, and analyze compliant data sets., • Constantly develop your skills through coaching from your portfolio manager and by using the full breadth of the professional development resources available to you, • Apply your ever-growing knowledge base to identifying and opining on key market debates that drive stock prices, • Creatively research questions subject to the firm's compliance policies and procedures, • Recognize variant views versus the market, • Conduct yourself with the highest levels of professionalism, integrity, and ethics Who Should Apply: At the Point72 Academy, we hire for potential. We are looking for problem-solvers who offer unique perspectives that can be applied to investing. We want you to apply if you have: • Superior analytical skills, demonstrated through work experience and/or graduate education in fields such as finance, law, philosophy, economics, history, political science, journalism, humanities, or liberal arts., • The ability and ambition to learn quickly, as we prepare you to potentially join a fundamental equities investing team as an investment analyst., • A demonstrated passion for problem-solving, regardless of discipline., • Strong written and verbal communication skills, with the ability to collaborate well with others., • A fierce commitment to ethics and integrity., • Self-motivation, maturity, and eagerness to learn., • Exceptional critical and analytical thinking ability., • An undergraduate degree (or above). Timing: We have three start dates per year. The start class you will be considered for depends on when you apply. What To Expect: • Your online application, essays and resume will serve as an introduction to who you are as a candidate. Once you complete the online application, we will begin reviewing your profile., • Selected candidates will then receive an email invitation to participate in a case study, allowing you to showcase your experiences and demonstrate your business acumen., • Following submission and review of your case study, the next step would be an online assessment and virtual one on one interviews with various members of the Academy team, if selected. About Point72 Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. We're a firm that thrives on ideas, and we've found that the Point72 Academy has provided us with diverse viewpoints and perspectives. We can offer support in Academy Associates' growth and development as analysts and portfolio managers. The US annual base salary for this role is $125,000 (USD) which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Please note that any use of GenAI is strictly prohibited when completing this application.

CNN is seeking a Growth Marketing Director to lead the development, launch, and scaling of new subscriber growth opportunities across emerging audiences, products, and markets. This new role will serve as the marketing lead for strategic growth initiatives including international expansion, new subscription products and audience development opportunities such as students, military, and other high potential segments. Working at the intersection of strategy, product, marketing, and analytics, this individual will help identify where CNN can grow next and build the go-to-market plans required to turn those opportunities into meaningful subscriber and revenue growth. The ideal candidate combines strong consumer marketing fundamentals with an entrepreneurial mindset. They are equally comfortable synthesizing market research, developing positioning and audience strategies, building launch plans, briefing creative teams, and optimizing performance after launch. Reporting to the VP, Growth Marketing, this role will partner closely with Research, Strategy, Product, Editorial, Brand Marketing, Partnerships, and Analytics teams to bring new growth opportunities to market. Your Role Accountabilities... • Partner with Strategy, Research, Product, and Business Development teams to evaluate market opportunities and prioritize growth investments., • Develop business cases, audience strategies, and go-to-market recommendations for new initiatives. Go-to-Market Strategy & Launch Planning • Own end-to-end go-to-market planning for new products, audiences and markets., • Develop positioning, messaging frameworks, audience segmentation, customer journeys and launch plans., • Define pricing, packaging, promotional strategies and value propositions in partnership with Strategy, Product and Growth leadership., • Ensure launches are supported by integrated marketing plans across acquisition, engagement, and retention channels. Audience Development & Consumer Insights • Translate research and market intelligence into actionable audience strategies., • Develop target personas, audience segmentation frameworks and customer value propositions., • Identify consumer needs, barriers, and motivations to inform product and marketing decisions., • Partner with Analytics and Research teams to evaluate market potential and measure performance. Creative & Campaign Development • Brief and partner with Brand, Creative, Design, and Copy teams to develop compelling campaign assets and experiences., • Ensure marketing creative effectively communicates the value proposition to target audiences., • Collaborate with integrated marketing teams to coordinate launch activities across channels and touchpoints. Growth & Lifecycle Management • Partner with centralized paid media, CRM, lifecycle, and channel teams to execute acquisition, onboarding, engagement, and retention campaigns., • Monitor performance and optimize marketing strategies based on subscriber growth, engagement, and retention outcomes., • Establish repeatable growth playbooks that can be applied across future audience and market expansion efforts. Qualifications & Experience... • 812+ years of experience in growth marketing, product marketing or go-to-market strategy within a subscription, streaming, media, technology, or consumer business., • Demonstrated success launching new products, entering new markets, or building new customer segments from strategy through execution., • Experience developing positioning, audience strategy, pricing, packaging, and integrated go-to-market plans., • Strong understanding of subscription economics, customer acquisition, lifecycle marketing, retention, and LTV optimization., • Experience partnering across Product, Research, Analytics, Creative, Editorial, and Engineering to bring new initiatives to market., • International marketing or market expansion experience strongly preferred., • Experience working in fast-paced, matrixed organizations with multiple cross-functional stakeholders. Skills & Competencies • Strategic Growth Leader: Able to identify new commercial opportunities, size markets, prioritize investments, and translate business strategy into executable marketing plans., • Go-to-Market Expert: Deep understanding of product positioning, messaging, audience segmentation, launch planning, and commercialization., • Consumer Insight Driven: Comfortable interpreting quantitative research, qualitative insights, competitive intelligence, and customer behavior to inform strategy and decision-making., • Creative Collaborator: Experienced partnering with design, copywriting, brand, and creative teams to develop compelling marketing campaigns and customer experiences., • Cross-Functional Influencer: Exceptional relationship builder who can align Product, Editorial, Research, Analytics, Partnerships, and Marketing around shared objectives. How We Get Things Done This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law. If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request. In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $136,500.00 - $253,500.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Morgan Stanley Services Group, Inc. is seeking a Vice President, Risk/ Policy Mgmt in New York, New York to develop, enhance, and maintain macroeconomic forecasting and scenario generation models used for firmwide and regulatory stress testing. Scenario production including model development, estimation, documentation, validation support, and ongoing monitoring. Assist in economic research, statistical modeling, machine learning, and methodology development to enhance the scenario design framework. Drive automation and process improvements using Python, R, and analytics tools. Produce audit-ready model documentation in line with internal governance and regulatory expectations. Partner with Model Risk Management, Internal Audit, Finance, and Regulatory Affairs on reviews and examinations. Communicate analytical results to senior management and governance committees. Provide support to software tool development and testing and scenario design documentation. Telecommuting permitted up to 2 days per week. Requires a Master's degree in Physics, Financial Engineering, or a related field of study Requires three (3) years of experience in the position offered or three (3) years as a Director, Associate, or a closely related occupation. Requires three (3) years of experience with the following skills: • Econometric and statistical modeling techniques applied to macroeconomic and financial risk analysis;, • Scenario?based forecasting and stress?testing methodologies for regulatory and internal capital planning;, • Time?series modeling technologies including econometric modeling, structural break analysis, and back test analysis;, • Developing and maintaining macroeconomic modeling frameworks and satellite models;, • Vendor tools including Oxford Economics Macro Models;, • Scenario production platforms and workflows, including quarterly path generation, validation, and publication controls;, • Data production technologies for large?scale macro?financial datasets including usage of external data sourcing and data quality checks tools including Haver Analytics;, • Python for quantitative modeling, automation, and production deployment;, • Python and R programming for statistical analysis, model estimation, diagnostics, and testing;, • Relational data technologies for data extraction, transformation, and validation;, • Model testing, validation support, and remediation processes aligned with Model Risk Management (MRM) standards;, • Automated documentation generation tools including Rmarkdown;, • Automated documentation techniques for model methodology, assumptions, and governance artifacts;, • Developing analytical utilities and visualization technologies including dashboards, charting, severity comparison tools;, • Version control and collaborative development technologies including Git for model and code lifecycle management;, • Project management tools and techniques for tracking model development, remediation milestones, and delivery timelines; and, • Preparing technical materials for senior management, audit, and regulatory review forums. Requires one (1) year of experience with the following: • Generative AI tools for analytical workflows, automation, and productivity enhancement including the design and development of AI agents to support modeling, documentation, and process automation tasks. Expected base pay rates for the role will be between $159,000 and $205,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

New York, New York, United States CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easierphysically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We have built a world-class Finance team and we are looking for someone equally exceptional to grow with us. As Senior Associate, FP&A, you will be at the center of how CLEAR plans, forecasts, and allocates resources. This is a builder's role: you will own our stakeholder relationships with senior leaders across CLEAR, modernize our forecasting infrastructure, and help supercharge our planning capabilities with AI. You will partner directly with business leaders across the company to give them real ownership of their P&Ls. This role reports to the VP, FP&A. What you'll do: • Serve as the finance partner to senior leaders across Technology, Aviation, Member Care, Growth, Public Affairs, Legal, and Peoplebuilding trusted relationships and becoming a go-to thought partner for their business, • Build dynamic, detailed, and scalable financial models to support annual budgets, quarterly re-forecasts, and long-range planning, • Manage opex and capex budgets in partnership with the business, and own department monthly budget vs. actuals processes with succinct, actionable commentary, • Empower business leaders to actively own their P&Ls by building intuitive reporting, leading financial reviews, and translating numbers into decisions, • Identify and clearly communicate key risks and opportunities across your business areas, • Help drive cost savings and new growth initiatives by building detailed business cases to evaluate and support decision making, • Support creation of Investor Relations, Board of Director, and Management Financial Review materials, • Identify and champion improvements to our forecasting tools and processes, including opportunities to leverage AI and automation How you'll measure success: • Strong relationships and regular ongoing dialogue with senior functional leaders across the business, • Business leaders who feel equipped to own and manage their P&Lsand who come to you proactively, • Accuracy and timeliness of financial forecasting and reporting across your business areas, • Meaningful contribution to reducing forecast and approval cycle times, • Quality and clarity of materials prepared for senior leadership and the Board, • Tangible improvements to forecasting processes and tools What you're great at: • 57+ years of progressive FP&A experience, ideally in a high-growth or publicly traded company, with a track record of owning forecasting and planning processes, • Deep hands-on expertise with FP&A systemsNSPB, Hyperion, Anaplan, OneStream, or similar EPM/CPM platforms; experience leading a system implementation or major upgrade is a strong plus, • Analytical horsepower, meaning you love building models and are equally comfortable translating complex financial data into clear, executive-ready narratives, • A systems thinker: you spot process inefficiencies and have the instinctsand the follow-throughto fix them, • A collaborative partner: you know that the best finance teams make the whole organization smarter, and you build trust with non-finance stakeholders naturally, • Curious about and actively exploring how AI and automation can be applied to FP&A workflows, • Bachelor's or Master's degree in Finance, Accounting, Economics, or a related analytical discipline How You'll be Rewarded: At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $140,000 - $165,000, depending on levels of skills and experience. The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law. CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment. We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

Lead financing execution Own workstreams across high-yield bond issuances, senior secured term loans, and equipment / project finance facilities. Drive term sheet negotiations, manage lender and counsel relationships, and coordinate documentation through close. Structure credit support arrangements Analyze, negotiate, and document guarantees, credit wraps, off-take agreements, and other investment-grade backstop structures. Understand how these instruments affect debt sizing, covenant mechanics, and investor / lender underwriting. Drive financial modeling Build and own transaction models covering debt sizing, DSCR waterfalls, restricted payment mechanics, levered/unlevered returns, and multi-scenario sensitivities. Be the team's primary check on model integrity across live transactions. Lead counterparty and legal coordination Manage external counsel, financial advisors, and counterparty working groups. Track open legal and commercial issues, flag risks to senior leadership, and push resolutions forward on deal timelines. Design and stress-test capital structures Evaluate HoldCo / OpCo / PropCo structuring, cross-collateralization provisions, cross-default mechanics, and intercreditor arrangements. Work with legal to translate structural decisions into documentation. Support equity-linked and warrant structuring Analyze and help negotiate warrant agreements, equity co-invest structures, and other instruments issued in connection with strategic credit support or partnership arrangements. Prepare investor and lender materials Own the production of investment memos, lender presentations, bond offering documents, and internal approval materials. Ensure financial accuracy and narrative coherence across all deal documents. Partner cross-functionally across the business Work closely with development, power, site selection, legal, and technology teams to gather inputs for financial analyses, pressure-test commercial assumptions, and ensure financing structures are grounded in operational reality. Translate complex capital markets concepts for non-finance stakeholders and help the broader team understand how financing decisions affect project outcomes. Build organizational execution expertise Develop internal frameworks, playbooks, and reference materials that codify deal learnings and improve execution consistency over time. 57 years of experience in leveraged finance, structured credit, or a related capital markets role at a bank, credit fund, or infrastructure sponsor. Demonstrated experience leading or significantly owning deal execution from term sheet through close. Deep financial modeling capability: able to independently build, audit, and pressure-test transaction models for complex, multi-tranche capital structures. Proven ability to manage external advisors and counterparty workstreams while driving transactions forward on timeline. Excellent written communication skills; able to draft clear, concise investment memos, term sheets, and board-level materials independently. Prior exposure to data center, power, digital infrastructure, or other capital-intensive real asset sectors on the debt or equity side. Strong working knowledge of credit agreement mechanics, covenant structures, and high-yield / leveraged loan documentation. Experience with credit support structures guarantees, off-take agreements, or similar and their impact on financing economics and lender underwriting. Familiarity with warrant agreements, equity co-invest structures, or other equity-linked instruments issued alongside credit facilities or strategic arrangements. Understanding of SPV structuring, multi-lender intercreditor arrangements, and cross-collateralization mechanics. Prior people management or mentorship of junior deal team members. Competitive total compensation package (cash + equity) Health, dental, and vision insurance Retirement plan Generous PTO policy We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

Job Code: 12872 Country: US City: New York Skill Category: Internal Audit Description: Corporate Title: Vice President Department: Internal Audit Location: New York The pay range for this position at commencement of employment is expected to be between $160K and $180K/year (see below footnote for additional compensation and benefits information). Company overview Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. Nomura's Global Internal Audit Division provides independent assurance to senior management and the Board, reinforcing the firm's sound risk culture and control environment. We operate across major financial centers and collaborate closely with the First and Second Lines of Defense to evaluate and enhance governance, risk management, and regulatory compliance. The Internal Auditor (VP) Market Risk Management acts as the functional Subject Matter Expert (SME) for assessing the Second Line of Defense (2LoD) oversight of market risks within Nomura's Global Markets businesses. The auditor will evaluate how Market Risk functions identify, measure, monitor, and report risk exposures, and how risk appetite frameworks translate across asset classes, products and regions. This role focuses exclusively on market risk management auditsmodel validation and valuation control reviews are handled by separate specialized audit functions. However, familiarity with how models and valuation processes feed into market risk frameworks is expected to ensure effective collaboration with Nomura's Model Risk and Valuation audit SMEs. Familiarity with FRTB and other market risk capitalization frameworks also important for collaboration with-in audit and understanding the materiality of issues raised. This is a hands-on, analytical role suited to professionals who combine regulatory and product knowledge with a quantitative mindset, advanced analytics capabilities, and strong stakeholder engagement skills. • Lead or co-lead audits of Market Risk Management functions within the 2LoD, with coverage spanning traded products and regional risk oversight teams, • Assess the design and operating effectiveness of risk governance frameworks, including limit structures, escalation processes, and risk appetite adherence, • Evaluate how Market Risk functions identify and assess emerging risks, including new products, trading strategies, market events, and changes in market conditions or liquidity, • Review monitoring and challenge processes applied to trading desk performance, market events, and emerging risk indicators, • Evaluate governance over risk data aggregation and reporting, including data quality controls, reconciliation processes, management information accuracy and escalation of data quality issues, • Develop and execute data-driven testing procedures to identify unusual patterns, control weaknesses, or governance gaps, • Apply AI-assisted techniques to enhance audit risk coverage, automate control testing, or improve documentation review, • Communicate audit findings and recommendations to Global Market Risk Management supporting remediation and continuous improvement, • Ensure audit conclusions align with expectations under Basel III / FRTB, SR 11-7, and regulators such as SEC, CFTC/NFA, PRA, FCA, BaFin, and JFSA Market Risk & Governance: Deep understanding of Market Risk Management concepts: risk identification methodologies, VaR frameworks, stress testing, Greeks (delta, gamma, vega, theta, rho) and other risk sensitivities, exposure aggregation, and backtesting Strong knowledge of risk appetite frameworks, governance structures, and escalation design Ability to assess risk identification processes for new products, trading strategies, and emerging market risks Ability to assess limit management, risk metric reliability, and independent challenge mechanisms Knowledge of P&L attribution, risk factor decomposition, and variance analysis methodologies Quantitative & Technical Knowledge: Quantitative familiarity with market risk concepts across asset classes: Rates, Credit, Equities, FX, and Commodities Understanding of cash and derivative products and their risk characteristics (e.g. RMBS, Structured Credit, options, swaps, structured products, exotics) Ability to interpret and challenge risk sensitivities, scenario outputs, and stress test results Familiarity with risk data aggregation principles and data quality requirements under regulatory frameworks Data Analytics & Technology: Advanced proficiency in data analytics and automation Experience with AI and machine learning techniques for audit applications Familiarity with visualization tools and audit analytics platforms Ability to design and execute complex data analytics-driven testing strategies across large position and sensitivity datasets Regulatory & Systems: Understanding of global regulatory standards (Basel/FRTB/ICAAP/ILAAP, SR 11-7, SEC/CFTC/NFA, PRA/FCA, BaFin, JFSA) and the role of 2LoD market risk oversight Working knowledge of adjacent risk areas (Model Risk, Valuation Control, Credit, Treasury) to support effective collaboration Qualifications 7-10 years of experience in Internal Audit, Market Risk, or risk related functions within an investment bank or financial institution Bachelor's or master's degree in finance, Economics, Mathematics, Statistics, Engineering, or related quantitative discipline Professional certifications (FRM, CFA, CPA, CIA) preferred Exceptional analytical, communication, and problem-solving skills with proven ability to present technical findings to senior stakeholders Demonstrated experience leading complex market risk audits across multiple jurisdictions or asset classes Ability to work effectively within a small, global audit team and manage stakeholder relationships across functions and regions Preferred Attributes Genuine curiosity about market dynamics, risk measurement, and emerging trends across risk disciplines Ability to balance independent challenge with constructive engagement across Nomura's global Risk and Product teams Commitment to excellence and continuous improvement within a dynamic audit environment Nomura Leadership Behaviors Explore Insights & Vision Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future. Making Strategic Decisions Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations. Inspire Entrepreneurship in People Inspire team members through effective communication of ideas and motivate them to actively enhance productivity. Elevate Organizational Capability Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing. Inclusion Foster a culture of inclusion and psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Currently pursuing an Undergraduate/Master in Data Science, Statistics, Economics, Applied Math, Computer Science or a related discipline. Prior internship or project experience in analytics, business intelligence, or data science. Support Strategic Projects: Contribute data analysis to key initiati

• Job Type: Officer of Administration Bargaining Unit: Regular/Temporary: Regular End Date if Temporary: Hours Per Week: 35 Standard Work Schedule: Building: Salary Range: $195,500-$275,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Senior Director of Research is a key member of the senior leadership team of the Center on Global Energy Policy (CGEP) at Columbia University's School of International and Public Affairs, reporting to the Founding Director. The role is primarily responsible for the day-to-day management of the organization's research initiatives. The incumbent will also assist the Founding Director with setting and aligning strategic research priorities with CGEP's core strategic mandate. Responsibilities Lead the day-to-day management of research administration and publications and provide strategic guidance on the priorities and research content for all research scholars. Develop strategic plans for research programs that define policy and other impact metrics. Build implementation strategies focused on key impact metrics that work across the organization to include policy, communications, development, and external engagement dimensions. Serve as primary point-of-contact for faculty across Columbia and spearhead collaborations with faculty across Columbia University (including, but not limited to, the Climate School, the Law School, the Business School, and the Fu Foundation School of Engineering and Applied Science) and with outside academic organizations. Provide intellectual leadership and management to the Center's existing and future research programs. Ensure effective implementation of CGEP's external review process for publications, and play a quality control function for the organization, ensuring that the work adheres to the standards of the highest quality academic research. Coordinate and manage work of CGEP researchers, including goal setting, performance review and helping set workplans. Recruit effectively by identifying new talent and leading retention efforts for researchers. Focus on advancing CGEP's processes, guide research scholars in development of paper proposals, and regular review of organization-wide research for consistency and quality control. Manage conflict of interest policies and ensure compliance with internal guidelines and broader Columbia requirements. Build partnerships for CGEP research programs with civil society, philanthropy, think tanks, and other academic partners. Set performance metrics and review process for research programs and initiatives; responsible for ensuring key program performance goals are achieved. Build an inclusive, supportive, and rewarding culture. Partner with the Founding Director to engage the Advisory Board in the areas of research prioritization and funding opportunities. Collaborate with the Founding Director and the Faculty Advisory Committee to deepen the integration of CGEP with faculty across Columbia University. Regularly engage with the media, policymakers, academics, donors, and other outside stakeholders. Lead with integrity and maintain the highest standards of confidentiality. Minimum Qualifications A Bachelor's degree and at least fifteen years of related leadership experience. Deep and extensive knowledge of both domestic and international energy geopolitics, markets, policy, economics, and environmental issues and related issues as demonstrated through prior professional experience and academic training. Experience or expertise in policymaking, policy analysis, policy briefing, and policy development. A proven record of successful engagement at senior levels and the ability to achieve consensus and interact effectively with multiple high-level stakeholders. Proven track record of written research, externally facing thought leadership and research management. Facility with large budgets and a record of effectively allocating resources. Proven experience and success at strategic planning and program development. Proven experience both exercising strategic thinking and deploying resources for implementation purposes. An ability to conceptualize and deliver is essential. Experience developing partnerships with a diverse range of stakeholders, including civil society, NGOs, philanthropy, academia, think tanks, and industry. Excellent interpersonal, relationship-building, and communication skills. The person must possess the executive presence, gravitas, energy, and confidence to develop internal and external relationships with diverse constituencies, including faculty; staff; industry, nonprofit, and public sector partners; and colleagues across a complex institution.] Desire to engage with leaders and researchers from diverse fields within energy and energy policy. Demonstrated leadership practices that foster diversity, equity, and inclusion within an organization Preferred Qualifications An advanced degree (M.A., M.B.A, J.D., Ph.D.) Experience working in research organizations. Experience serving in government. Experience in fundraising or grant-making in energy and environment fields. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

About Gen: Gen is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. Our combined heritage is rooted in financial empowerment and cyber safety for the first digital generations, and today we deliver award-winning cybersecurity, online privacy, identity protection and financial wellness solutions to nearly 500 million users in more than 150 countries. Together, we share a collective passion and vision to protect consumers and help them grow, manage and secure their digital and financial lives. We're always looking for smart, fearless and high-impact talent who see AI as a teammate - leveraging it to move faster and deliver meaningful results. When you're part of Gen, you'll have the flexibility, tools and support to do your best work and grow your career - from flexible working options and time off to competitive pay, benefits and well-being programs. At Gen, we are scrappy and relentlessly customer driven. We create room for healthy debate, experimentation and continuous learning, and we seek out people with different experiences, identities and ideas to join our team. You'll work with people who back each other, respect each other and understand that our differences are a competitive advantage. If this sounds like you, we'd love you to be part of Gen. About the Role: We are seeking a Staff Data Scientist to join the Data Science team at Engine by MoneyLion. Engine by MoneyLion is the definitive search engine and marketplace for financial products, connecting consumers with personalized financial offers across loans, deposits, credit cards, and more through its robust API. Data Science powers Engine's offer recommendations, dynamic pricing, and enhanced decisioning across our network, working closely with financial partner managers and product teams to develop cutting-edge models that drive value across the consumer journey through our complex marketplace funnels. In this role, you will own critical model systems end-to-end-from data engineering and feature pipeline management through model development, deployment, and real-time serving. Your models will generate direct revenue impact in real time, and your data solutions will affect millions of users daily. You will lead technical initiatives across recommendations, pricing, and marketplace optimization, collaborating deeply with engineering, product, and business stakeholders to bridge the gap between advanced machine learning and tangible business outcomes. Key Responsibilities: Own and develop production ML models for real-time recommendations, pricing, and conversion prediction across the Engine marketplace. Design, build, and manage feature pipelines and data transformations in our data warehouse (e.g., Redshift, Snowflake) using tools like dbt, Airflow, and SQL to ensure high-quality, timely features for model training and serving. Lead the design, execution, and analysis of large-scale A/B tests and experiments, translating results into actionable product and model improvements. Collaborate closely with product managers, partner managers, and business stakeholders to translate complex business problems into well-scoped data science projects. Work hand-in-hand with engineering teams to deploy, monitor, and maintain ML models in production-including real-time serving infrastructure. Drive best practices across the team in model development, code quality, documentation, experiment design, and reproducibility. Contribute to the evolution of our MLOps platform and tooling, ensuring scalable and reliable model lifecycle management. Present findings, model insights, and strategic recommendations to executive and non-technical stakeholders with clarity and business context About You: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, Economics, or a related quantitative field (or equivalent professional experience). 7+ years of experience across data science, machine learning, and data engineering, including: Designing and shipping production ML models and advanced analytics in applied, production-oriented settings using Python, SQL, and ML frameworks. Building real-time or near-real-time ML systems for recommendations, pricing, bidding, or similar use cases. Working with data warehouse technologies (Redshift, Snowflake, BigQuery) and building/managing data pipelines (dbt, Airflow, Spark). Strong foundation in statistics, probability, experiment design, and machine learning theory. Experience working with ML platforms and infrastructure (SageMaker, Spark, Ray, MLflow, or equivalent). Comfortable doing software engineering when needed-writing application code in Python/Scala/Java, contributing to APIs, containerizing services (Docker, Kubernetes), or building CI/CD for model deployments. Excellent communication skills-effective with both technical and non-technical audiences. Experience in fintech, financial services, or marketplace/auction environments is a strong plus. What's Next: Recruiter Interview Hiring Manager Interview Technical Interview Final Interview

Overview Are you interested in exploring career paths in quantitative trading and software engineering? Join us at Susquehanna for a multi-day event to learn what life looks like for our quantitative developers and traders. This invitation-only event will allow you to gain insight into our systematic and semi-systematic trading strategies, how strategy development spans everything from signal creation to low-latency execution, and the collaborative culture that drives our work. You'll take part in interactive sessions, assessment-based challenges, and interviews, offering a direct pathway to our Summer 2028 internship opportunities. This opportunity is open to students who are planning to graduate in the winter of 2028 or the spring of 2029. Applications will close November 16, 2026. We will be in touch in October regarding next steps for attendance. What we're looking for We are looking for students with a background and demonstrated interest in any of the following fields/majors: Math/Applied Math Computer Science Engineering Physics Statistics Finance * Economics Please submit your resume in order to be considered for the program. About Susquehanna Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together. If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

PermitFlow is redefining how America builds. We're an applied AI company serving the nation's builders, tackling one of the largest information challenges in the economy: understanding what can be built, where, and how. Our AI agent workforce helps the fastest-growing construction companies navigate everything from permitting and licensing to inspections and project closeouts - accelerating housing, clean-energy, and infrastructure development across the country. Despite being a $1.6T industry, construction still suffers from massive delays, wasted capital, and lost opportunity. PermitFlow has already delivered unprecedented speed, accuracy, and visibility to over $20B in development, helping contractors reduce compliance time, de-risk projects, and scale with confidence. As the U.S. enters a new capex supercycle across data centers, factories, housing, and renewables, joining PermitFlow means building the AI infrastructure at the core of every construction project driving the next wave of reindustrialization. We've raised over $90M, most recently completing our Series B, from top-tier investors including Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, with backing from leaders at OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber. About the Role We're hiring a Director, Strategic Partnerships to take PermitFlow's partner ecosystem to the next level. We already have a meaningful set of partners across our core categories - the mandate for this seat is to go deeper with the ones we have and aggressively expand the ones we don't. You'll own the strategy, expansion, structuring, and revenue accountability across the full partner portfolio. Permits don't happen in a vacuum. They sit inside a larger contractor stack - ServiceTitan, AccuLynx, JobNimbus, Salesforce, Procore, Buildertrend, CompanyCam - and they're funded, sold, and serviced through OEMs, distributors, financing partners, and trade associations. The contractor decision to standardize on PermitFlow is heavily influenced by who we integrate with, who recommends us, and who builds joint motions with us. Your job is to make PermitFlow the obvious permit layer of the home services and pre-construction ecosystem. You'll report to the VP of Sales and partner closely with Sales, Marketing, Product, and the exec team. The role has clear pipeline and revenue accountability - partner-sourced and partner-influenced ARR are how we'll measure success. What You'll Do Define the partner strategy. Build the map: which categories matter (FSM/ISV, OEM/manufacturer, distributor, construction management, financing, trade association, AHJ/govtech, adjacent SaaS), where the leverage is, and which 5-10 partners we go deep with. Bring a point of view - don't wait for a playbook. Recruit and sign foundational partners. Identify, pitch, negotiate, and close partnership agreements with target ISVs (e.g., ServiceTitan, AccuLynx, JobNimbus, Procore, Buildertrend), OEMs and distributors in HVAC / roofing / windows / doors / solar, financing partners, and trade associations. Drive partner-sourced and partner-influenced pipeline. Carry a number. Partnerships exist to drive deals - referrals, co-sells, embedded distribution. You'll own a target for partner-sourced ARR and partner-influenced pipeline, and you'll be measured against it. Build the joint GTM motion. Partner with Marketing on co-branded campaigns, webinars, dealer/distributor events, and conference presence. Partner with Sales on co-sell motions, account mapping, and joint pursuits. Make the "better together" story real, not theoretical. Own contract structuring and negotiation. Lead deal terms - referral economics, rev share, co-marketing commitments, integration scope, SLAs. Build the standard partnership agreement template with Legal so future deals close faster. Be the product feedback loop from the ecosystem. Funnel integration requirements, API gaps, and partner-driven roadmap input back to Product. You're the voice of the ecosystem inside PermitFlow. Stand up the partner program infrastructure. Build the partner tiering framework, onboarding playbook, enablement assets, scorecard, and QBR cadence. Make it scalable so we can hire underneath you in 12-18 months. Represent PermitFlow externally. Speak at industry events (IRE, AHR Expo, GAF Roofing Academy, NAHB IBS, ServiceTitan Pantheon, etc.). Be the face of PermitFlow's partner motion to the ecosystem. What We're Looking For 8+ years in Partnerships, Business Development, or Channel Sales - ideally at a B2B SaaS, vertical SaaS, ConTech, PropTech, or InsurTech company. You've signed real deals, run a partner number, and built joint motions that produced pipeline. Track record of expanding and scaling, not just maintaining. You've taken existing partnerships from underperforming to producing real pipeline, and you've signed material net-new partners. You can talk through the mechanics of both motions - how you re-engineered a sleepy partner relationship and how you closed a cold one. Quota / revenue accountability in your past. You've owned a partner-sourced pipeline number or rev share target - and you've hit or exceeded it. You can talk about your funnel, conversion math, and partner economics fluently. Ecosystem fluency in home services / construction / contractor tech is a strong plus. Experience with FSMs (ServiceTitan, AccuLynx, JobNimbus, Workiz, FieldRoutes), construction management (Procore, Buildertrend), OEMs (GAF, Owens Corning, Carrier, Trane, Pella, Andersen), or financing platforms (GreenSky, Service Finance, Sunlight) is a major edge. Exec-level presence. You've pitched VPs and C-suite at $500M+ companies and held your own. You're polished with execs, blunt with operators, and adapt to both. Commercial sharpness. You structure deals that work. You know when to walk, when to push, and how to protect PermitFlow's economics. You don't sign vanity partnerships. Builder mindset. You're going to write the partner playbook, the standard contract, the QBR template, and the partner scorecard. You see infrastructure as the unlock for scale. High agency, low ego. You'll be in rooms with the CEO, CRO, Head of Product, and partner executives - often in the same week. You adapt, contribute, and don't wait for direction. What Would Set You Apart Built or scaled an integration partner program with the FSMs and CRMs our customers actually run on - ServiceTitan, AccuLynx, JobNimbus, FieldEdge, Workiz, Salesforce, Procore, or Buildertrend Prior partnerships with HVAC, roofing, windows, doors, or solar OEMs (Carrier, Trane, GAF, Owens Corning, Pella, Andersen) or major distributors (ABC Supply, Beacon, SRS, Ferguson) Active relationships inside the PE-backed home services rollup ecosystem - sponsors, operators, or advisors driving multi-jurisdiction trade consolidation (PermitFlow's largest deals live here) Experience with AHJs / govtech platforms (Accela, Tyler, OpenGov), embedded contractor financing (GreenSky, Service Finance, Sunlight), or the trade associations our customers belong to (NRCA, NAHB, ACCA, ABC) What We Offer Competitive salary and meaningful equity in a high-growth company Comprehensive medical, dental, and vision coverage Flexible PTO and paid family leave Home office & equipment stipend Hybrid NYC office culture (3 days in-office/week for NYC-based team) with direct access to leadership and exec team In-office lunch & dinner provided * Travel to partners and customers - you'll see the ecosystem in the field, not just over Zoom PermitFlow provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, gender expression, or family status, as protected by applicable law. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. All employment decisions are based on merit, qualifications, and business needs.

Job DescriptionCompany Description With more than 100 years of experience, Sika is a worldwide innovation and sustainability leader in the development and production of systems and products for commercial and residential construction, as well as the transportation, marine, automotive, and renewable energy manufacturing industries. Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protection in the building sector and industry. Sika has subsidiaries in 103 countries around the world, produces in over 400 factories, and develops innovative technologies for customers worldwide. In doing so, it plays a crucial role in enabling the transformation of the construction and transportation industries toward greater environmental compatibility. Approximately 33,000 employees generated CHF 11.20 billion in sales in 2025. Job Description • Responsible for developing successful value-added sales using solution based and consultative sales techniques within assigned sales territory to increase sales in all Sika Target Markets. This includes calling on Owners, Architects, Consultants, Engineers, Design-Build firms, Contractors, and all other influencers/opinion leaders in the territory., • Learning the main Sika product lines (Target Markets) critical for an effective value-added and solution-based approach, including Liquid Applied Membranes, Sealing/Bonding, Refurbishment, Roofing, Flooring, Building Finishing, Concrete and Waterproofing., • Employ foundational knowledge to identify and position products and solutions to create sales opportunities., • Make sales calls to uncover construction projects in the earliest stages., • Build a strong pipeline of major projects in the territory with large potential across the Target Markets., • Achieve specifications and work to ensure Sika products are approved and specified prior to projects bidding., • Communicate with local Sika sales colleagues in all Target Markets appropriately to maximize the sales opportunities on major projects and at key accounts., • Organize Sika’s added-value sales efforts for strategic projects and accounts in the territory including major seminars/symposiums such as Sika hosted events to demonstrate to customers Sika’s full capabilities., • Perform local value-added sales efforts using Salesforce.com, our customer relationship management solution, as the main communication tool with all team members contributing and participating to maximize sales opportunities on identified strategic pursuits., • Up to 20% domestic and international travel required to various client sites nationwide. Local telecommuting permitted.Qualifications, • Bachelor’s degree in Business Administration, Economics, Marketing, Management, or a related field of study (or foreign equivalent) and 3 years of related experience required., • Experience must include one (1) year of:, • Technical Sales in the Building Construction industry, • Specification codes, • Building codes and applications, • P&L Management, • Strategic Planning, • Account Management, • Customer Relationship Management, • Contract negotiations, • Power BI, • Presentations, • Read/interpret construction documents (including drawings, details, plans), • Specification writing, • Working on cross-selling teams Additional Information • 401k with Generous Company Match, • Bonuses, • Medical, Dental, and Vision Benefits, • Paid Parental Leave, • Life Insurance, • Disability Insurance, • Paid time off, paid holidays, • Floating holidays + Paid Volunteer Time, • Wellness/Fitness Reimbursements, • Education Assistance, • Professional Development Opportunities, • Employee Referral Program & More! Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics. We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

AB's systematic merger arbitrage strategy sits within Multi-Asset & Hedge Fund Solutions, a team known for combining quantitative rigor with deep market expertise. You will report directly to the Head Portfolio Manager, a 30-year veteran of discretionary event-driven investing and serve as his primary research counterpart and deputy on the portfolio. You will collaborate closely with AB's technology and data engineering teams, who provide infrastructure support, freeing you to focus on research, signal development, and investment decision-making. You will also engage directly with AB's institutional clients and prospects, representing the strategy in meetings and contributing to business development alongside the Head PM and the broader client group. Systematic Research & Signal Development • Identifying patterns in active and completed deals that can be systematically tested against historical data., • Design and maintain quantitative models and systematic signals to assess spread dynamics, deal break probability, and portfolio-level risk and return behavior., • Develop, backtest, and evaluate new investment ideas using the team's backtesting engine; own the integrity of input data and the deal database that underpins this process, ensuring completeness, accuracy, and consistency of historical and live deal records., • Identify and apply machine learning and statistical techniques to extract signals from deal, market, and alternative data., • Proactively identify opportunities to leverage AI tools across the strategy including data acquisition, deal monitoring, and research workflows and help embed those capabilities into the team's day-to-day investment process. Portfolio Management Support • Monitor and assess active deals across the M&A universe tracking deal timelines, deal structure, regulatory and antitrust developments, and deal outcomes., • Periodically engage with company management teams and deal advisors as needed to clarify deal timelines, assess regulatory risk from the issuer's perspective, and confirm deal economics where contractual terms require interpretation for modelling purposes., • Track regulatory filings (HSR, SEC), antitrust proceedings, shareholder vote schedules, and deal timetables for all active positions., • Support the Head PM in position sizing, portfolio construction, and risk management decisions., • Assist with trade building and portfolio monitoring., • Contribute to regular strategy performance reviews, providing attribution analysis and research-driven commentary on historical results. Technology & Data • Partner with AB's technology team to enhance research workflows, data pipelines, signal construction, and analytics., • Manage deal and market data across relational databases; maintain data quality standards across all research inputs., • Identify opportunities to expand the team's data capabilities through alternative or third-party data sources. Client & Business Development • Attend meetings with institutional clients and prospects to present the strategy, discuss current positioning, and present research findings including deal-level analysis and systematic insights from the team's backtesting work., • Contribute to the preparation of investor materials, performance commentary, research publications and the strategy's quarterly investment letter., • Serve as a credible and articulate spokesperson for the strategy in client interactions and external forums. What We're Looking For: Required • 5+ years of investment management or quantitative research experience in equities. Experience with merger arbitrage or event-driven strategies a plus., • Experience with quantitative research methods, including backtesting systematic strategies and evaluating signal performance, • Working proficiency in Python for research and data analysis purposes; comfort writing and maintaining production-quality scripts in an investment context., • Working proficiency in SQL for querying and managing structured datasets., • Excellent attention to detail and a strong commitment to data quality., • Strong communication skills; able to present investment views clearly and credibly to sophisticated institutional audiences., • Bachelor's degree in a quantitative or finance-related discipline (Finance, Economics, Mathematics, Computer Science, Statistics, or similar)., • Willingness to embrace and use AI to help with all facets of the job Preferred • Familiarity with Merger Arbitrage. Ability to analyze M&A transactions from announcement through close, including an understanding of typical deal timelines, deal structures, regulatory review processes, and break risk, • Experience with quantitative modeling and ML methods applied to event-driven or arbitrage investing (e.g., classification models, supervised learning for deal outcome prediction)., • Exposure to systematic strategy development: factor construction, signal combination, and portfolio optimization., • Experience using AI tools to augment investment or research workflows; able to articulate clearly how AI has enhanced their work and to identify practical applications within a systematic strategy context. About AB We are a leading global investment management firm offering high-quality research and diversified investment services to institutional clients, retail investors, and private-wealth clients in major markets around the globe. With over 4,000 employees across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most trusted investment firm in the world. We realize that it's our people who give us a competitive advantage and drive success in the market, and our goal is to create an inclusive culture that rewards hard work. Our culture of intellectual curiosity and collaboration creates an environment where you can thrive and do your best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to our clients, we are fully invested in you. If you're ready to challenge your limits and empower your career, join us! All are encouraged to apply. AB does not discriminate against any employee or applicant for employment on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital status, citizenship status, sexual orientation, gender identity, military or veteran status or any other basis that is prohibited by applicable law. AB's policies and practices seek to ensure that employment opportunities are available to all employees and applicants based solely on job-related criteria. In accordance with applicable law, the minimum and maximum base annual salary for this role is as follows: Base Salary Range: $200,000.00 to $250,000.00 Actual base salaries may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base salary is just one component of total compensation at AB, which may include, depending on eligibility, commissions, year-end incentive compensation, short- and long-term incentives and Department-specific awards. In addition, AB provides a variety of benefits to eligible employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays, sick and vacation time off New York, New York