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Vice President, Financial Model Audit – Model Risk At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, Financial Model Auditor to join our Internal Audit team. This role is located in New York City In this role, you’ll make an impact in the following ways: • Performing high quality, risk-focused audit testing, in accordance with Internal Audit policies, methodologies, and standards in order to identify meaningful issues, risks and other exposures related to model risk in Finance’s Corporate Treasury functions, and Risk Management areas focusing on the Enterprise-wide management of Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, and Artificial Intelligence / Machine Learning., • Tests model development and model validation processes as per the Supervisory Guidance on Model Risk Management and the Bank’s Model Risk Management policies, standards, and procedures., • Operates as a team member or independently and has responsibility for specific procedures and results (i.e., head of a project relating to an audit, audit project, or model auditor). Ensures testing (or other tasks as applicable to a specialty) is adequately thorough and accurate to allow an evaluation of the adherence to company policies and procedures, audit methodologies, and all applicable regulations. Identifies existing and emerging risk/ control themes., • Prepare draft audit reports and follow-up of audit actions to ensure corrective actions have been appropriately implemented., • Learns new businesses, processes and regulations., • Work with other audit team members to mentor, guide and collaborate., • Work on projects of great complexity that involves significant understanding of the regulatory requirements, business models and processes for each assignment., • Maintain up to date knowledge of industry best practice and regulatory requirements., • Carry out other ad-hoc tasks and projects as directed by audit senior management., • Represent Internal Audit on projects and at management meetings., • Advanced degree (Masters or PhD) in Math, Statistics, Physics, Economics or other quantitative fields are required (PhD is preferred)., • Strong quantitative and analytical background coupled with strong theoretical foundation and good communication skills preferred., • 3+ years working experience in model development, model validation, or model audit in the risk area such as Market Risk, Credit Risk, Interest Rate Risk, Liquidity Risk, Financial Crime Compliance, Artificial Intelligence / Machine Learning, stress testing, and capital planning., • The position requires special skills (eg. mathematical, statistical, quantitative, economic, and business knowledge and modeling experience)., • Proficient with programming languages used for model development and validation, such as Matlab, R, C++, Python, etc Additional core skill requirements include understanding of the applied and interpretation of analytics results for Audit, critical thinking and problem solving At BNY, our culture speaks for itself, check out the latest BNY news at: Here’s a few of our recent awards: • America’s Most Innovative Companies, Fortune, 2025, • World’s Most Admired Companies, Fortune 2025, • “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $100,000 and $150,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs. This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.

Bachelor's degree in a quantitative or healthcare-related field required, such as applied statistics, econometrics, health informatics or data science. Reporting to the SVP Chief Actuary, the VP Informatics will oversee the Medical Economics and Data Science teams, with responsibility for delivering

Currently pursuing a Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field. We're looking for Data Science interns to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding a

Bachelor's/Advanced degree in Financial Economics, Applied Mathematics, Physics, Statistics or other quantitative disciplines.

Job DescriptionCompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers. Location: New York, NY (Hybrid- Three days per week in the office, subject to change) We are seeking an Applied Data Scientist - Real Estate with expertise in econometric modeling and commercial real estate (CRE). In this role, you will play a key part in shaping how we leverage data to deliver insights across the CRE industry. Your mission is to:- Leverage advanced statistical modeling to analyze and predict commercial real estate analytics and market trends.- Apply modern ML/AI techniques (XGBoost, embeddings, LLMs, etc.) to extract insights, and power CompStak’s next-generation data products. - Build scalable pipelines that integrate structured CRE datasets with structured and unstructured sources, improving ingestion, enrichment, and automation.- Collaborate across engineering, product, and data teams to bring innovative, data-driven solutions to life. Bridge data and domain expertise by bringing real estate/finance context into models, ensuring accuracy, interpretability, and business relevance.Responsibilities • Create predictive models: Apply statistical and machine learning methods to identify patterns, forecast trends, and generate actionable insights in CRE markets., • Build and optimize pipelines: Develop, improve, and automate large-scale data ingestion and transformation pipelines for commercial real estate datasets., • Ensure data quality: Validate, clean, and reconcile data from diverse sources to maintain accuracy and reliability., • Communicate insights: Translate complex analyses into clear, actionable recommendations for both technical and non-technical stakeholders., • Stay ahead of trends: Keep up to date with the latest advancements in CRE industry dynamics, data science, and ML frameworks.Skills & Experience, • 3+ years of experience in an economics-focused role (e.g., corporate position in technology, finance, commerce, or market analysis)., • Strong understanding of economics, demonstrated through professional or academic experience., • Proficiency in Python and key ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow)., • Excellent organizational, communication, and stakeholder management skills., • Bonus: Hands-on experience with LLMs, embeddings, or NLP frameworks (e.g., Hugging Face, LangChain).

Job Description We are seeking a motivated and detail-oriented Junior Research Analyst to join our research team. The ideal candidate will work closely with our senior analyst to support coverage across the capital structure, including equities and credit. This role offers an opportunity to gain hands-on experience in financial modeling, research writing, and market analysis within a collaborative environment. Key Responsibilities • Assist senior analyst in conducting fundamental research across multiple sectors and asset classes., • Gather and process financial data from multiple sources to support research efforts., • Work closely with senior analyst to develop financial models and forecasts., • Contribute to the preparation of research reports, presentations, and client materials., • Participate in the monitoring of market trends, company news, and macroeconomic developments., • Maintain databases, research libraries, and other information resources to ensure accuracy and accessibility of research data., • Collaborate with sales and trading to provide research insights, answer client inquiries, and support business initiatives., • Assist in the development and production of recurring research products, including building and maintaining regular market or company monitors. These will be published on a consistent schedule and refined over time to support the firm’s research brand, product identity, and client engagement., • Respond to ad hoc data and analysis requests from senior analyst and traders., • Demonstrate strong organizational skills and the ability to take direction while managing multiple tasks. Attributes and Skills • Detail-oriented with strong follow-up and capacity to work independently., • Excellent written and verbal communication skills, with the ability to effectively present complex information in a clear and concise manner., • Ability to take instruction and execute efficiently while developing independent judgment over time., • Curiosity, initiative, and a willingness to work across asset classes and sectors., • Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines., • Advanced critical thinking and problem-solving abilities., • Bachelor's degree in Finance, Economics, or a related field., • Passionate about capital markets and investment research, • Relevant work experience in the financial services industry., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Life Insurance (Basic, Voluntary & AD&D) This description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Odeon Capital Group provides a total compensation package which may include a base salary, commissions, discretionary performance bonus, and/or a comprehensive benefits package. The estimated base salary range for this position, at the time of posting, is $70,000 to $100,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. Candidates hired to work in other locations will be subject to the pay range associated with that location. The final base salary amount that is offered to any candidate, in any location, will be determined on several factors, which may include but are not limited to location, work experience, skills, knowledge, education, and/or regulatory licenses. Odeon Capital Group is an Equal Opportunity Employer. We are committed to creating a work environment that supports, inspires, and respects all individuals and in which employment processes are merit-based and applied without discrimination. Odeon does not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other protected characteristic or other non-merit factor.

Job DescriptionCareer Renew is recruiting for one of its clients a Technical Lead - Blockchain - this is a fully remote role and candidates can be based anywhere. Salary range: 180-250K USD per year. We develop NEAR Intents to enable seamless cross-chain interactions in an automated world — connecting AI, services, and financial applications. We design intent-driven liquidity layers, where smart contracts breathe, AI transacts and chains sync in real-time With expertise in AI, cryptography, and decentralized finance, our team is redefining how intelligent agents interact across blockchain networks. We invite you to be a part of our team of smart, professional, result-oriented and fun individuals. Join us to help ensure that our background processes run smoothly while we are striving to become the best in the industry. About the Position We’re looking for a Tech Lead (Solvers) to architect and guide the development of our Solver network—the core infrastructure powering NEAR Intents. In this role, you'll lead engineering design and implementation, enhance performance and reliability, and build the next generation of intentpowered cross-chain execution. Responsibilities * Design & build the Solver framework: Architect the algorithms, execution strategies, and infrastructure that power solver competition, quote aggregation, and intent-ready execution workflows. * Drive technical excellence: Lead deep code and design reviews, make high-impact architectural decisions, and uphold the highest engineering standards. * Collaborate across teams: Work with product, research, and ecosystem partners to align Solver capabilities with the NEAR Intents roadmap. * Guarantee performance at scale: Ensure low-latency, high-throughput execution across chains and decentralized environments. * Innovate Solver economics: Shape incentive structures, competition mechanisms, and cryptoeconomic models to grow and sustain Solver participation. * Stay hands-on: Balance leadership with active coding, prototyping, and tackling the most complex technical challenges in real-time. Requirements * 7+ years of software engineering experience, with at least 2 years in tech or engineering leadership. * Deep expertise in distributed systems, high-performance networking, or large-scale infrastructure. * Strong familiarity with smart contracts, onchain execution frameworks, or cryptoeconomics. * Fluency in Typescript and Go is a must (experience in Rust is a plus). * Proven ability to lead globally distributed engineering teams. * Strong at abstracting complexity: breaking down organizational and technical challenges and driving them to resolution. Comfort in ambiguity: you move fast, take ownership, and delight in solving hard problems. Nice to Have * Experience building MEV strategies, solver networks, or competitive auction mechanisms. * Familiarity with cross-chain messaging protocols or cryptographic signature aggregation. * Knowledge of AI/ML applied to optimization problems. * Prior work in open-source ecosystems, especially in Web3-native protocols.

Job DescriptionTeamBuilder is a rapidly growing healthcare SaaS company on a mission to transform healthcare with our innovative technology. We believe in empowering our customers through inventive solutions and a commitment to excellence. Our young, rapidly growing team is looking for passionate professionals who thrive in a dynamic, innovative, and collaborative environment. ***This role is FULLY REMOTE, though you MUST reside within the United States and be legally authorized to work in the United States. Key Values of all TeamBuilders • Committed to driving growth and delivering value for clients, • Innovative and collaborative, focused on effective implementation of our product, • Entrepreneurial and ownership mindset, • Design, execute, and interpret large-scale statistical analyses and experiments., • Build robust forecasting and predictive models — focusing on accuracy and computational efficiency., • Collaborate with clinicians, engineers, and product teams to translate complex data into actionable insights., • Develop prototypes for new R&D initiatives, including model-driven healthcare tools and novel data-driven approaches to diagnostics and operations., • Evaluate new data sources, methods, and algorithms for their potential impact on business and research goals., • Communicate results and recommendations clearly to both technical and non-technical stakeholders.What We’re Looking For, • Education: Master’s or PhD in Mathematics, Statistics, Economics, Data Science, or a closely related quantitative field., • Experience: Prior experience in applied data analysis, modeling, or R&D (healthcare or startup experience is a plus)., • Deep knowledge of statistical methods, hypothesis testing, and time-series or forecasting models., • Proficiency with Python, R, or another modern data science stack (bonus: experience with PyTorch, TensorFlow, or probabilistic modeling tools)., • Strong communication skills and an ability to translate mathematical insight into real-world impact., • A curious, resourceful mindset — eager to learn new methods and build models that are both elegant and practical.Why You’ll Love Working Here, • Mission-driven team tackling real healthcare challenges., • Freedom to experiment and innovate without layers of bureaucracy., • Opportunity to shape the company’s data science culture and R&D direction., • Flexible work environment and supportive, intellectually curious teammates.Additional Information, • Job Type: Full-time, Exempt, Remote, • Compensation: Competitive including paid time off, medical benefits, 401k and the potential for an annual performance bonus, and/or equity. chTk5y37au

Job DescriptionProject ManagerAlbany, New York CityFusco Personnel is actively recruiting for a Project Manager, to join our client in leading the nation in the fight for global climate change and the transition to a clean-energy powered economy. This is a full-time, direct hire position offering a competitive salary and benefits package. Primary Responsibilities • Lead and support the planning and conduct of evaluations on NYSERDA’s evolving set of clean energy programs and initiatives, including innovation and research and market development programs with a focus including but not limited to measurement and verification, market impacts, process evaluation, etc. This work may include planning and conducting evaluation work in the following areas:, • Impact evaluation to measure and verify the energy and non-energy impacts of a program, project or technology, including contributing to and/or leading advanced measurement and verification initiatives and supporting NYSERDA on the NYS Technical Resource Manual committee, • Market evaluation to inform and assess NYSERDA’s market acceleration/transformation work by defining baseline market conditions and quantifying changes over time, • Process evaluation to assess the efficiency and effectiveness of program implementation and inform ongoing improvements to the program design and delivery, • Serve as an evaluation liaison to NYSERDA program staff for purposes of:, • Assisting with program design, implementation and management, including creating program logic models; developing the associated evaluation plan(s); implementing the evaluation plan(s) and providing real-time feedback in the form of actionable recommendations and synthesized insight, • Supporting the identification, collection, storage, and documentation of data necessary to perform ongoing assessments and comprehensive evaluations, • Proactively and adeptly researching and characterizing data in support of evaluation activities, • Facilitating efficient and effective evaluation management processes that produce actionable insights, • Develop and perform analyses of program processes, outcomes and impacts, including quantitative and qualitative data collection, • Perform in-house analytical work as well as manage projects undertaken by consultants, • Perform all job responsibilities with respect, fairness, consistency, and inclusion, • Perform other responsibilities as assignedMinimum Qualifications, • A Bachelor’s degree and at least 5 years’ experience in technical (engineering, quantitative analysis, data science), applied research (social science, market), psychology (behavioral or organizational), policy analysis and/or program evaluation, • Excellent analytical and quantitative capabilities; experience with programs such as SAS, Python and/or other open-source resources, as well as tools such as Visio and Qualtrics are desirable, • Outstanding project management skills and initiative with demonstrated success in managing concurrent multiple projects adeptly with a focus on budget, schedule and deliverable quality. Demonstrated problem-solving ability with a proactive and collaborative style; ability to facilitate consensus-building among multiple stakeholders, • Excellent verbal and written communication skills, • Excellent presentation and interpersonal skills that resonate with audiences of different backgrounds; possess the ability to communicate persuasively, concisely and unambiguously in speech and writing., • Proficiency in MS Office applications Additional QualificationsApplicants should be able to demonstrate having some of the following skills enhanced by a willingness to quickly learn and develop proficiency in these areas:, • Working knowledge of NYSERDA’s clean energy programs, • Understanding of markets in which NYSERDA’s clean energy programs operate including targeted customers, involved stakeholders and principles of technology diffusion/market transformation, • Understanding of energy policy issues and analysis, • Demonstrated capability to conduct analysis in clean energy technology operation and performance, energy efficiency, demand response, renewable energy generation, environmental impacts, economics, or program evaluation, • Ability to conduct geo-coding and map data, • Ability to present data and analyses in visually-appealing ways, • Actively monitor and maintain industry best practices (e.g., CMVP), • Familiarity with statistical analysis, sampling approaches and data collection methods and standards, • Understanding of technical data sets, databases, database management, and data retrieval, • Experience working in a team environment both as a leader and active team member as well as in a cross-disciplinary role. Ability to perform all managerial and supervisory (as assigned and as applicable) responsibilities with demonstrated experience fostering respect, diversity, equity, and inclusion across the workforce, • Ability to be proactive from initiating value-added analyses to quickly identifying and resolving issues, contributing to improving NYSERDA’s overall evaluation work and suggesting improvements to management, • Ability and appetite to learn and assimilate new information and think holistically through complex problems with technical and non-technical components.Salary, • $78k-$131kFusco Personnel takes great pride in successfully matching talent and culture for our valued clients. We accomplish this through the hard work and expertise of our exemplary specialty recruiters and staff. Whether you are contemplating your next career move, or you are seeking the key players to bring your business to the next level – consider contacting our experts. Fusco Personnel is a NYS Certified Women Business Enterprise (WBE) and an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer

Job DescriptionAbout Amigo Amigo builds trust and safety infrastructure for AI in mission-critical environments. We partner with organizations in healthcare and other regulated sectors to deploy AI systems that operate reliably when the stakes are highest. Our infrastructure enables verification, monitoring, and real-time oversight—ensuring AI serves people safely at scale. We've raised $6.5M from General Catalyst and GSV Ventures. Our team combines expertise in distributed systems, quantitative research, clinical operations, and regulatory environments to build AI that organizations can trust. About this role As an Applied Scientist - Human-Centric Modeling at Amigo, you'll develop models that capture the complex dynamics of human behavior in healthcare contexts. You'll design systems that model patient-provider interactions, population-level health behaviors, and the human factors that influence healthcare outcomes. Your work enables our AI systems to optimize around human-centric problems by understanding and predicting human behavior patterns in clinical settings. What you'll do * Design models of human behavior in healthcare contexts, including patient-provider interactions * Build population-level models that capture demographic variations and health behavior patterns * Create systems that model healthcare workflows and human decision-making processes * Build frameworks for understanding and modeling bias in human healthcare decisions * Design systems that optimize AI behavior for human-centric outcomes * Collaborate with healthcare professionals to ensure models reflect clinical reality What we're looking for * Strong background in behavioral modeling or human-computer interaction * Experience with statistical models for human behavior prediction * Knowledge of healthcare systems and clinical workflows * Understanding of statistical methods for analyzing human behavior data * Track record of building models that capture complex human behavior patterns Nice to have * Healthcare industry experience or clinical research background * Experience with conversational AI or dialogue systems * Background in health psychology or behavioral economics * Knowledge of healthcare regulations and patient privacy requirements Benefits Health & Wellness * Comprehensive health, dental, and vision insurance * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth * Daily catered lunch and dinner Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Development setup of your choice * Academic collaboration opportunities Compensation Range: $150K - $300K

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking highly motivated plasma physicists and mathematicians to join our team, focusing on the optimization of electromagnetic coils for stellarator magnetic fields. The ideal candidate will possess a strong background in nonlinear optimization. Experience with magnetic confinement of plasma is a plus. You will work with an exciting and dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Develop and implement algorithms for the optimization of the configuration of electromagnets., • Conduct optimizations of stellarator electromagnetic coil systems considering metrics for plasma performance, maintainability, and economics., • Collaborate with cross-disciplinary teams to design a stellarator fusion system., • Perform data analysis, model validation, and provide insights into the parametric dependence of coil systems., • Prepare technical reports, presentations, and publications based on simulation results and optimization findings., • Stay up to date with the latest advancements in computational plasma physics, fusion energy, and optimization techniques. Required Experience & Skill Set:, • PhD Plasma Physics, Applied Physics, Electrical Engineering, Applied Mathematics, or a related field and 7+ years of experience., • Strong knowledge of numerical optimization., • Experience with magnetic plasma confinement, especially stellarators, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, or MATLAB)., • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally., • Experience with stellarator and coil optimization, and software tools such as STELLOPT, SIMSOPT, DESC, FOCUS. Familiarity with fusion devices. Familiarity with advanced numerical optimization including nonlinearly constrained optimization and/or combinatorial optimization. Experience in high-performance computing (HPC) environments.Company Benefits, • Salary range $150,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Econ One provides economic consulting services, as well as expert testimony, in litigation matters involving antitrust, class action, labor & employment, finance, health economics, intellectual property, and other commercial disputes. Our in-house expertise in applied statistics, data management, economic theory, and econometrics, is coupled with decades of experience successfully dealing with case specific demands at every stage of the litigation process. We are seeking an Analyst Intern (potential for a future permanent Analyst role) for a team working on a variety of projects involving antitrust and damages issues. This position is temp to hire with initial hourly rate between $30-$50 and initial three-month commitment. Analysts work as part of a team on challenging and high-profile projects in a collegial work environment. The ideal candidate will have excellent verbal and written communication skills and be comfortable undertaking complex data analyses. We are looking for candidates who take pride in solving complex problems, create excellent work product, and are eager to work with a great team in the fast-paced setting of litigation consulting. Expectations • Conduct research and analysis in a timely fashion with minimal supervision, • Conduct independent data analysis utilizing Excel, • Clean and analyze data using SAS, Stata and/or R, • Manage, review, and analyze documents, • Independently gather data from public sources, • Produce clear presentations and prepare written memoranda of analyses & findings, • Check accuracy of work product, • Assist in report/exhibit creation, • BA or MA in Economics, Statistics, Mathematics, Finance or related field., • Interest in working with messy and/or complex data., • Ability to work in Excel., • Experience programming in SAS, Stata, and/or R (SAS is preferred)., • Excellent quantitative/analytical skills., • Ability to apply statistical concepts., • Excellent verbal and written communication skills., • Ability to demonstrate proficiency with data presentation., • Ability to work independently and as part of a team; dedicated to seeing projects through to completion., • Willingness to work on multiple projects with tight deadlines., • Strong commitment to accuracy and quality work product., • Excellent attention to detail. Please note that this role does not provide H1-B sponsorship.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations., • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Experience: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job DescriptionSalary: Position: Data Scientist / AI engineer Location: New York, NY(Hybrid 3x in office) Employment Type: Contract-to-hire Contract Duration: 6 months-1year The Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices. Responsibilities: • Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives., • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance., • Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses., • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality., • Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape. Key Skills: DomainExpertise: • MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline, • Heavy experience with Azure Data Factory is a must., • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus, • Strong applied understanding of MLOps / LLMOps best practice, • Experience to merge and transform disparate internal & external data sets together to create inputs for AI Agile +Digital Experience: • Openness to working in Agile environments with multiple stakeholders, • Professional attitude and service orientation; team player, • Quick learner to business needs and translate them into potential analytics solutions, • Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases, • Exemplary organizational skills with attention to detail & accuracy, • Ability to coach, mentor, and collaborate with business partners, analysts, and team members, • Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning

Job Description Data Scientist NYC Private Equity - Investment Management Firm J Harlan Group is currently conducting a search for an experienced and highly motivated Data Scientist, at a prominent NYC Private Equity - Investment Manager. An exciting opportunity to join this fast-growing and dynamic investment organization that is experiencing exceptional growth! The Data Scientist will play a critical role in driving data-driven decision-making across the firm's investment strategies, portfolio management, and risk platform. The ideal candidate will bring extensive experience in data science, investment management/strategies and an understanding of portfolio management & risk management. Key Responsibilities: Working in a Hybrid work environment: • You will work closely with verticals, business intelligence analysts, data engineers, and other stakeholders to design, develop and deploy data-driven solutions that drive investment decisions and facilitate improved operational outcome at their portfolio companies., • You will have the opportunity to bring your ideas to life by building on a foundation of strong internal support, clear vision, engaged users and bright, kind teammates., • Analytical Insights: Conduct in-depth analysis of internal or portfolio company data for deep understanding of underlying linear (and non-linear) dynamical structures., • Data Analysis and Modeling: Develop and apply advanced statistical, machine learning and artificial intelligence models in collaboration with internal stakeholders to provide novel insights into operational and investment issues., • Risk Analysis and Management: Work closely risk team to develop and apply data-driven risk models, • ML Ops: Collaborate with data engineers and engineers to design and implement data pipelines, design infrastructure, and enable continuous delivery of high-performing models in production., • Product Management: Work with vertical teams and portfolio company users to identify and concisely describe issues to solve, and subsequently translate and document these in terms of scope and functional requirements., • Collaboration and Communication: Work closely with cross-functional teams, enabling clear communication and broad understanding of models applied and interpretation of results., • Innovation and Best Practices: Stay up to date with emerging trends, technologies and methodologies in data science, machine learning, artificial intelligence, and quantitative analysis. The ideal candidate would have a background including: • Minimum of 3-7 years of experience in Data Science, preferably with experience with the analysis or application of data in finance or economics – specific experience with real assets a plus!, • Strong theoretical background in and practical experience with optimization, statistical techniques, and machine learning & artificial intelligence models, • Strong programming skills in Python (or R or Julia) and SQL, • Extensive experience with standard machine learning libraries (e.g., in Python; Numpy, Pandas, SciPy, Scikit-Learn, PyTorch, TPOT, etc.), • Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP) – and associated ML platforms (e.g., SageMaker, Vertex), • Working knowledge bringing models to production, • Experience with data modeling, data warehousing, and ELT processes, • Strong analytical, strategic thinking, and problem-solving skills., • Excellent communication and interpersonal skills, with the ability to interact effectively with senior management and external stakeholders. Nice to Have: • Monte Carlo Simulation: Experience building Monte Carlo models for time series simulation; experience with VAR or similar a plus., • Domain Expertise: Experience with the analysis or application of data in finance or economics – specific experience with real assets a plus Education: About the Client: The firm is a leading investment manager and private equity firm specializing in the acquisition of transportation equipment and asset operating platforms in the infrastructure sector. The firm targets real asset investment opportunities that are cash yielding with downside protection, and benefit from a team with deep, longstanding relationships and financial and operating expertise. Today, the firm manages over $9bn of assets globally across rail, intermodal, aviation, and emerging technology strategies with office locations in NYC, Chicago and St. Louis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of financial markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior partners in a highly collaborative and charged investment environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients. The estimated salary range is $135,000-$215,000. Employees may also be eligible for an annual discretionary incentive compensation award. Actual base salary may vary based upon, but not limited to relevant skills, experience, qualifications, and geographic location.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

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 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 DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role You will be the analytical powerhouse behind our marketing initiatives, working end-to-end from data exploration to model deployment. Your work will directly influence how we invest in marketing channels, personalize user engagement, and measure ROI at scale. In this role, you will: * Design, analyze, and interpret experiments to optimize marketing performance across channels (paid media, lifecycle marketing, influencer partnerships, etc.) * Build and maintain attribution models to better understand customer journeys and channel impact. * Develop forecasting and optimization tools to allocate budget efficiently and predict campaign performance. * Partner with marketing, product, and engineering teams to create data-driven strategies for audience segmentation and personalized messaging. * Establish scalable measurement frameworks for new marketing channels and campaigns. * Present actionable insights and recommendations to executive leadership in a clear, compelling narrative. Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs. 👋 You Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Data Scientist, Marketing, you should have: * 4+ years of experience in data science, analytics, or applied statistics, ideally in a marketing, growth, or advertising context. * Advanced proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis. * Experience with marketing measurement techniques (e.g. MMM, incrementality testing, causal inference). * Strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels. * Proven ability to design and analyze A/B and multivariate experiments. * Excellent communication skills, with the ability to translate complex analyses into clear, business-focused recommendations. * Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience. 💰Compensation For Full-Time (Salary) US-based applicants: $205,000/year to $240,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $205K - $240K

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job Description We are global private markets specialists delivering tailored investment solutions, advisory services, and impactful, data driven insights to the world's investors. Leveraging the power of our platform and our peerless intelligence across sectors, strategies, and geographies, we help identify the advantages and the answers our clients need to succeed. Position Overview We are seeking a results-driven and team-oriented Vice President to join our Real Estate Advisory team. This Vice President will assist in delivering comprehensive real estate advisory services to our institutional investor clients and supporting discretionary mandates. They will have an important role in the analysis of real estate managers and funds, from initial meeting through due diligence and preparation and delivery of investment committee materials. The ideal candidate will bring an understanding of real estate investments, funds, and manager due diligence, coupled with a client-first mindset. They will have a career progression oriented toward becoming a trusted advisor and client coverage manager, with respect to investment matters ranging from portfolio design to fund selection and other related, ad hoc matters. Key Responsibilities Investment Sourcing & Evaluation • Source, evaluate, and track real estate fund offerings. This involves networking effectively in the GP community, and conducting regular meetings to learn and vet the offerings. It includes communicating with managers about fund availability and demand as well as sourcing potential secondaries and co-investments., • Work as a central part of the team performing detailed due diligence on investment managers and fund offerings. This includes review of investment strategy, track record, team, organizational structure, and alignment of interests. Analyze and write fund summaries and comprehensive investment committee memos. This includes scrutiny of PPMs, DDQs, track records and other related materials in detail and interviewing references., • Along with the relevant coverage team, present and support fund recommendations to the Real Estate Funds Investment Committee, Portfolio Risk Management Committee, and as needed, to clients., • Effectively manage, train and develop more junior team members to provide support for these activities., • Many of these activities will leverage SPI: StepStone Private Intelligence, which is proprietary software. The VP is expected to become proficient with SPI and other firm technology as well as any other technology needed to perform the job. In collaboration with a data gathering systems, team and processes, the VP will assist in gathering, verification and use of a growing asset-level performance database., • Take an active role in client deliverables and conversations. This may include preparing and discussing pipeline reviews and investment recommendations, annual plans, portfolio reviews, and responding to ad hoc client requests. The VP may be asked to contribute to similar functions related to new business development as needed., • Respond promptly to client inquiries, ensuring a high standard of service, responsiveness and communication., • BA/BS in Real Estate, Private Equity, Finance, Economics, Accounting, or equivalent relevant experience, • 6+ years of real estate private equity consulting, portfolio management (preferred) or capital markets roles, • Experience in diligencing and underwriting commingled fund structures or SMAs, • Demonstrated track record of academic and professional success, • Ability to represent the Firm credibly in written and interpersonal communications, • Demonstrable analytical capabilities, including strong quantitative/modeling skills, • Leadership potential, • High proficiency in Word, Power Point and Excel. Experience with PowerBI is desirable., • Developing investment judgment and general understanding of risk/reward trade-offs, • Flexibility—StepStone is a dynamic and entrepreneurial organization; all professionals are expected to perform multiple functions as the firm continues to grow and develop, • Ability and willingness to use, learn and adopt new technologies, • Availability to travel, primarily within the eastern US, • Applied experience in valuation and investment analysis (particularly capital structures and cash flow waterfalls), • Experience in managing and training more junior team members, • High level of confidentiality, • Commitment to learning The salary range is an estimate of pay for this position. Actual pay may vary depending on job-related factors that can include location, education, skill, and experience. The salary range does not include any benefits or other forms of possible compensation that may be available to employees. #LI-Hybrid At StepStone, we believe that our people are our most important asset and crucial to our success. We are an Equal Opportunity Employer that strives to create an environment that empowers our employees and allows them to be heard, regardless of title or tenure. Our organizational community features multiple Employment Resource Groups as well as mentorship programs to enhance the employee experience for all. As an Equal Opportunity Employer, StepStone does not discriminate on the basis of race, creed, color, religion, sex, national origin, citizenship status, age, disability, marital status, sexual orientation, gender identity, gender expression, genetic information or any other characteristic protected by law. Developing People at StepStone

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Varo Bank, the first all-digital national bank, is seeking a passionate, data-driven Credit Risk Director to provide risk management oversight and effective challenge of credit related activities as we grow our lending business. You will collaborate across a number of teams internally; including risk management, product, lending, finance, engineering and legal to ensure Varo Bank’s risk management is best in class. We are looking for an analytic thinker who thrives in a fast-paced, mission-oriented environment to help revolutionize consumer banking.What You'll Do: • Work in our 2nd line of defense credit risk management team, • Independently evaluate and challenge credit strategies, by understanding the impact of any change on profitability through advanced credit analytics, • Review the usage of advanced machine learning models developed by data scientists in credit decisions, in order to ensure profitable outcomes, • Ensure credit extension decisions aligns with Varo’s Risk Appetite Framework, • Manage Credit Key Risk Indicators; perform analysis to enhance and evolve credit KRIs, ensuring metrics align with Varo’s Business Objectives and Risk Appetite, • Build and maintain monitoring dashboards; Perform portfolio analysis and generate actionable insights, • Spot emerging credit risk by developing and maintaining credit monitoring reports with a view on internal and external leading indicators and share analytic insights with key stakeholders, • Evaluate new alternative data and determine how best to utilize them, • Manage credit-related policies and ensure they are properly being applied in our lending productsYou’ll bring the following required skills and experiences:, • 6+ years of experience in consumer credit risk management or credit strategy, preferably at a fintech or major financial institution, • Deep understanding of the consumer credit lifecycle and how Credit Risk Management principles are applied in consumer lending, • Advanced expertise in data analysis and manipulation using SQL or Python, • Experience with advanced statistical techniques and a solid understanding of relational databases, • Excellent verbal and written communication skills with strong attention to detail, • Experience in using models (developed by data scientists) to improve business decisions, • Strong ability to independently identify and solve problems in a fast-paced environment, • Education: Bachelor's or Master's in a quantitative field like Computer Science, Economics, Math, Statistics, or Engineering, • Familiarity with business intelligence tools like Tableau or similar, • Experience with machine learning models in a credit risk context is a plus

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. As our Performance Marketing Lead, you'll lead strategy, execution, and measurement for all performance marketing (Paid + SEO/SEM + digital) in service of driving member growth. You will work cross functionally across product, design, engineering, BI, and finance to drive efficient and effective campaigns, resulting in high impact on member enrollment and engagement. You'll be a thought partner to account managers for customers and strategic partnerships, serving as an internal subject matter expert on performance marketing. This role is full-time, based in New York and hybrid. The role reports to the Head of Member Growth. As Performance Marketing Lead you will: • Develop and execute end-to-end performance marketing campaigns across paid search, SEO/SEM, and digital, • Define clear goals, budgets and KPIs for each campaign and iterate based on real-time performance data, • Lead A/B and multivariate testing to optimize creative, targeting and bidding strategies, • Partner closely with product, design, and account management teams to align on campaign goals, audience segmentation and measurement frameworks, • Collaborate with operations and finance to forecast spend, track ROI and report on budget utilization, • Drives member grow efficiently and effectively, improving unit economics as budgets grow, • Demonstrates continuous performance improvement through a high velocity of A/B and multivariate tests with clear learnings applied, • Delivers timely, actionable insights through accurate forecasting and comprehensive performance reports, • Builds strong cross-functional partnerships with customer and strategic partnership stakeholders, • 7+ years of performance marketing experience driving growth across paid search / SEO / SEM / digital, • Strong analytical chops; you're comfortable digging into data and surfacing actionable insights., • Strong understanding of behavioral and personalized marketing tactics., • Strong communication and collaboration skills, with experience working cross-functionally., • Creative and resourceful, with a strong bias for action and testing., • 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. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our 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.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $185K - $260K

Job Description Hi, we're Oscar. We're hiring a Director, Medical Economics to join our Medical Economics. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Director, Medical Economics, plays an instrumental role in Oscar's medical economics operating model. You will be the lead architect and developer of our next generation of analytic tools. This role is for a hands-on technical expert who will personally develop a unified reporting suite to lead Oscar's Medical Economics program, providing transparent, relevant insights into medical cost and utilization drivers. You will be a project lead collaborating with leaders across the Medical Economics team to incorporate their analytic content into the unified reporting suite. You will lead the department's engagement with partners in the data science team to deliver the foundational datasets and infrastructure upon which the reporting suite will be built. You will report to the Senior Director, Medical Cost Analytics. Work Location: This position is based in our NYC office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $192,000 - $252,000 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses. Responsibilities: • Perform hands-on development while providing direction, guidance, and requirements to supporting matrixed resources from other analytic and tech teams., • Oversee decision-making responsibilities related to the technical design of a unified suite of medical economics reporting and analytic tooling that will be used to lead Oscar's Total Cost of Care (TCoC) efforts., • Partner with Medical Economics leaders to create a multi-year roadmap for the tooling suite, including creation of a governance process for designing content and analytic methodologies., • Develop automated dashboards and reports that decompose medical cost trends, highlighting important causes such as unit cost, utilization, mix of services, provider network changes., • Be the subject matter expert on Oscar's medical claims data, and incorporate key healthcare methodologies (e.g., risk adjustment, episode groupers, case-mix adjustment) into the tooling suite., • Ensure the tooling suite is designed to include generative AI for insight generation., • Be the internal consultant, introducing and applying techniques (e.g., predictive modeling, statistical analysis, machine learning) to enhance the sophistication and predictive power of our tooling suite., • Be the senior mentor and technical guide for analysts across the medical economics team, elevating the team's skills by promoting best practices in analytics and BI development., • Develop relationships and lines of communication with main partners across the operational departments., • Represent the medical economics function in cross-departmental forums, contributing to strategic planning., • Compliance with all applicable laws and regulations, • Bachelor's degree in a STEM field, or 4 years commensurate experience., • 10+ years of quantitative analysis in the healthcare industry., • Demonstrated expertise in designing, building, and deploying business intelligence solutions and reporting tools from the ground up., • Advanced, hands-on proficiency with data querying and manipulation languages (e.g., SQL, Python) and BI platforms (e.g., Tableau, Looker, and Power BI)., • Advanced degree (Master's or PhD) in a quantitative field such as Data Science, Statistics, or Computer Science., • Experience working with technology teams. Strong understanding of software development best practices as applied to healthcare analytics., • Experience working with large language models for development and data analysis., • Experience applying analytic methodologies (e.g., predictive modeling, statistical analysis, machine learning), preferably in a healthcare context., • Process management skills, with experience streamlining workflows and driving operational efficiency. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Job Description🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 Role The Trust and Risk, Fraud, and Integrity teams at Whatnot are responsible for building systems that help set clear expectations, encourage good behavior, and address issues fairly and efficiently. By combining proactive detection with transparent enforcement, we ensure Whatnot remains a safe and trustworthy place for both buyers and sellers.. We focus on: * Policy enforcement and dispute resolution: Designing systems that set clear behavioral expectations, detect and address policy violations, and resolve disputes efficiently. * Reusable, high-performance platforms: Building and maintaining scalable infrastructure that powers internal operations, automated and manual actioning systems, and advanced detection capabilities. * Intelligent detection and prevention: Leveraging machine learning, behavioral analysis, and real-time interventions to stay ahead of evolving abuse patterns and protect both buyers and sellers. * Continuous improvement: Using feedback loops and monitoring systems as managed assets for ongoing quality assurance and for strengthening algorithms, methodologies, and operational processes. Together, these teams ensure Whatnot remains a trusted, safe, and thriving marketplace for all users. US Based: Team members in this role are required to be within commuting distance of our Los Angeles, San Francisco, New York, and Seattle hubs. What you'll do: * Design and develop systems to protect the platform: Build and iterate on production algorithms and infrastructures that mitigate systemic risks and safeguard buyers, sellers, and the broader Whatnot community. * Balance risk and user experience: Proactively monitor the impact of protective systems on trusted users, ensuring interventions deliver more value than friction. * Respond in real time to threats: Architect event-driven pipelines and detection frameworks that enable near real-time responses to high-risk user behavior. * Contribute across the full development lifecycle: Engage in ideation, scoping, prototyping, load testing, deployment, and monitoring to deliver resilient and scalable solutions. * Drive cross-team initiatives: Collaborate across multiple product surfaces and operational teams, surfacing insights to leadership and stakeholders through dashboards, notebooks, and clear written documentation. * Continuously evolve defenses: Stay ahead of emerging abuse patterns, abuse vectors, and account integrity risks by iterating quickly and rigorously testing solutions. 👋 You Curious about who thrives at Whatnot? We’ve found that low ego, a growth mindset, and leaning into action and high impact goes a long way here. As our next Software Engineer you should have 7+ years of total software engineering experience, plus: * Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, a related technical field, or equivalent work experience. * 4+ years of software engineering experience building for consumer-scale loads. * 1+ years of experience writing production code in Python. * 1+ years of experience in Trust and Risk or Integrity or Fraud domains preferred. * Business intuition & a data-driven mindset that enables you to think critically about the growth headwinds abuse prevention systems can create. Explicit data science or machine-learning experience is a huge plus. * Obsession with impact. You are focused on driving value for users & have a track record of deploying simple solutions wherever feasible. You move as fast as possible without sacrificing quality. * Relentnessness & entrepreneurship. You prioritize your work ruthlessly & run through walls to get things done. Your curiosity drives you to dig into user problems & craft suggestions on how we can address them. * Ability to work autonomously and lead initiatives across multiple product areas and communicate findings with leadership and product teams. * Comfortability with data warehouses and transformation tools such as Snowflake, dbt, Dagster. * Professionalism around collaborating in a remote working environment and well tested reproducible work. * Above average documentation and communication skills. 💰Compensation For Full-Time (Salary) US based applicants: $180.000/year to $260,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity. 🎁 Benefits * Generous Holiday and Time off Policy * Health Insurance options including Medical, Dental, Vision * Work From Home Support * Home office setup allowance * Monthly allowance for cell phone and internet * Care benefits * Monthly allowance for wellness * Annual allowance towards Childcare * Lifetime benefit for family planning, such as adoption or fertility expenses * Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally * Monthly allowance to dogfood the app * All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). * Parental Leave * 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 💛 EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce. Compensation Range: $180K - $260K

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description Seeking professionals to serve as a part-time Adjunct Associate for a graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. An Adjunct Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Adjunct Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Graduate degree in an area related to applied analytics such as statistics, economics, mathematics, etc., • Solid knowledge and academic foundation in statistics., • Deep understanding of machine learning concepts and algorithms., • Proficiency in R and Python programming., • Teaching experience, ideally at the graduate level., • Proficient in JavaScript Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary: $3,343.74 per semester-length course

Staff Tax Accountant Position $68,000.Cullari Carrico LLC – Who We Are:.Cullari Carrico, LLC is a mid-sized local firm that provides complete tax, accounting, auditing, management and personal consulting services to a wide range of businesses as well as individual clients.We are passionate about c

Weichert Workforce Mobility is hiring an Accountant II.This is a hybrid role requiring two days in the Parsippany, NJ corporate office.The Accountant II, under general supervision, is responsible for performing general and non-routine accounting tasks requiring a thorough understanding of accounting

Bachelor’s degree in Finance, Accounting, Economics, or related field.

The following skills and experience are required in order to complete the above-mentioned tasks: Experience with Excel and Visual Basic for Applications (VBA); Experience with Python; Experience with macroeconomics, including experience with leading indicators and contrarian metrics; Experience with

Our client, a well-established and mission-driven organization, is seeking a.This position plays a key role in budgeting, financial reporting, and analysis across multiple facilities, supporting both operational and executive leadership.Accounting, Finance, or Business Administration.P&L, balance sh

Job Name: Statistician 341770 Location: New Brunswick NJ 08903 Contractor Work Model: 50% hybrid required Work Schedule: Mon- Friday (normal business hours) Term: 1-yr contract Pay Rate: Up to $60/hr (dependent on experience) Top Skills/Must Haves: Required Minimum MS (with 2+ years of experience) o

We are seeking a highly skilled and detail-oriented.Senior Accountant – Fixed Assets.This individual will be responsible for overseeing all aspects of fixed asset accounting, ensuring compliance with.Manage the tracking, recording, and reconciliation of fixed assets in the company’s accounting s

W2 job to a staffing company Work Location: 700 Sylvan Ave Englewood Cliffs, NJ, USA Work Schedule: Hybrid (Mon - Thurs: onsite/in office & Fri-remote) Education and Years of Experience: 1) Bachelor’s degree in Accounting or Finance 2) 2-3 years of relevant Finance or Accounting work experience To

We’re working on an exciting Manager of Reporting opportunity driven by a finance transformation initiative.Our client is centralizing all entity accounting at their Monmouth County–based headquarters and building a more efficient shared services model under new CFO leadership.This standalone po

ASSISTANT CONTROLLER Job Title: Assistant Controller Employment Status: Full-time Location Matawan, NJ -THIS IS NOT A REMOTE WORK POSITION Yearly Salary $75,000-$100,000 commensurate with experience Benefits: Profit Sharing, health, flexible spending, paid vacation, and sick leave Position Summary:

Manager of Corporate Reporting.Our client, a dynamic and growing organization, is seeking a.Manager of Corporate Reporting.This position will play a key role in overseeing the preparation and analysis of consolidated financial statements, management reports, and external reporting packages, while al

Roles and responsibilities Process purchase orders for assigned requisitions that are normally moderately to more complex procurements, which may include: higher dollar orders, service orders, and/or may involve negotiating vendor agreements/contracts and/or vendor terms & conditions in accordance w

Job Title: Accounts Receivable Specialist Location: Freehold, NJ Type: Direct Hire Compensation: $40000 - $50000 annually Contractor Work Model: Onsite Hours: Mon-Thurs 8:30 AM – 5:00 PM ; Fri 8:00 AM – 2:00 PM Job Duties: • Collect outstanding accounts receivable, including follow-up on uncol

Bachelor's degree in Economics or Finance or in a quantitative discipline such as Mathematics, Statistics, or Engineering with coursework in Economics and Finance. Columbia Business School is seeking to hire one or more Staff Associates for the Economics Division. This position provides an opportuni

An advanced degree in economics, finance, financial engineering, mathematics, operations research, physics, statistics, or another quantitative discipline.

Equity Research Fellowship, Emerging Immunology.We believe that Leerink Partners Equity Research can offer a compelling career path outside of academia for professionals excited about careers at the intersection of the financial markets and clinical development of new treatments for disease.Leerink

Welcome to Hudson Regional Health.Hudson Regional Health is a newly unified healthcare network serving Hudson County through four hospitals.Together, these hospitals form a single, integrated system with a shared vision—to deliver modern, patient-first care supported by innovation.From robotic-ass

Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines.Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally.As "The ROI Agency," Zenith's expertise lies in driving real, tangible business outcomes, not just m

Zenith is a full-service media agency with capabilities and expertise across all channels and disciplines.Zenith is part of Publicis Media, the #1 media buying network in the Americas and #2 globally.As "The ROI Agency," Zenith's expertise lies in driving real, tangible business outcomes, not just m

Balyasny Asset Management (BAM).Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley.With over $28 billion in assets under management, BAM employs more than 2,000 people across 23 offices in the U.Canada, Europe, the Middle East, and Asia.The firm's investment teams span five strategies, including