Mathematics degree jobs in Hoboken, New JerseyCreate job alerts

It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The VP - Securitized Product Control Manager, CIB Market Risk role is responsible for risk analysis and independent oversight of market data quality certification used for market risk metrics and reporting. The VP is responsible for all aspects of market data quality including compliance with requirements of regulators and internal control and will recommend opportunities and proposed resolutions for improved efficiency, effectiveness, and/or risk reduction for the department. The VP - Securitized Product Control Manager, CIB Market Risk should have the technical skill to create market data time series and historical reconstruction. The VP is responsible for reviewing, analyzing, and/or evaluating the Company's market data management that renders risk-based processing and reporting to reduce operating losses and maintain maximum protection of the organization's assets, products, and services. The VP will recommend opportunities and propose resolutions for improved efficiency, effectiveness, and/or risk reduction for pricing and reporting. EOD certification process occurs daily from 3 to 8 PM Morning hours are dedicated to market data maintenance and data quality check Market Risk Management for all securitized products trading in the US. Products include secondary trading of agency RMBS (passthroughs, CMOs), agency CMBS, non-agency products (ABS, RMBS, CMBS, CLOs) as well as whole loan trading and securitization. Perform daily review, maintenance, and certification of market data accuracy Analyze, maintain, and build history for market data proxy used for VAR reporting. Review market data and static data configuration in multiple platforms. Liaise with multiple teams to implement and resolve market data discrepancies. Monitor and manage risk/exposure and compliance with the company's policies. Identify, manage, and report on daily market data process and workflow. Quantitative support to the different participants of market data development process. Activities may include quantitative analysis, risk identification and remediation. Oversee and ensure the development and implementation of short-term projects. Organize and implement upgrades in Risk System with the support teams and Methodology. Perform test on systems in order to improve efficiency in analyzing the reports for risk metrics. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Experience in valuation of financial products and / or market risk management (FX, Rates, Bonds, Equities, CDS, Convertibles, Fixed Income Structured products (RMBS, CMO, MBS, CLO,…). Experience in knowledge of market products, obtaining inputs for valuation and market information systems (Bloomberg, Reuters, ICE, Market, etc.). Development of analysis tools and prototypes for defined market data feed (mainly in VBA or Python). Bachelor's degree (or equivalent) in Economics, Mathematics, Physics, Engineering, or a related field. Knowledge in market data and financial products. Strong Excel, Excel VBA and Python a must Knowledge in external vendor tools as Murex and Asset Control will be a plus. Knowledge in Spanish will be a plus. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $190,000.00 USD Maximum: $245,000.00 USD We Value Your Impact: Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. _ Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at _ to discuss your needs.

To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. As a teacher at Success you will: Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. Become a highly skilled problem solver able to tackle challenges in and out of the classroom. Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly. Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance. Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications A bachelor’s degree before your first day of work with Success Academy. A rigorous and relevant academic major (i.e, biology, history, chemistry, economics, physics, English, mathematics, engineering). Ability to work in person in New York City. Supervise a classroom of 20+ students. What We Look For Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them; Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment; Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you; Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities; Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds; Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. As a Network Competitive Math Coach, you will play a pivotal role in strengthening our competitive math pipeline by preparing scholars to excel in prestigous regional and national competitions, such as MOEMS, AMC, NYML, AIME, USAMO, and HMMT. The ideal candidate possesses deep mathematical expertise and a strong understanding of the competitive math landscape. They are fluent in advanced problem-solving techniques across algebra, number theory, combinatorics, geometry, and proof-writing. Preferably, they also have personal experience competing in high-level math contests and can translate that experience into structured, inspiring instruction for scholars. This role requires someone who thrives in both structured school environments and high-level one-on-one coaching settings. You will cultivate a high-expectations, high-joy culture where scholars develop resilience, mathematical maturity, and confidence in tackling complex problems. This hybrid role blends in-person, school-day instruction with evening remote coaching. From 11:30 a.m. – 4:30 p.m., you will work onsite at assigned schools, supporting competitive math programming, identifying high-potential scholars, and collaborating with school-based leaders. From 4:30 p.m. – 8:00 p.m., you will provide virtual private lessons, small-group coaching, and targeted competition preparation via Zoom. We are seeking a driven, organized, and mission-aligned educator who is passionate about developing exceptional young mathematicians! Education: • Bachelor’s degree in Mathematics or a related quantitative field required; advanced degree preferred. Experience: • Demonstrated success in advanced mathematics coursework, • Personal experience competing in high-level math competitions (e.g., AMC/AIME/USAMO/HMMT or similar)., • Preferred:, • Meaningful positive competitive math experience — as a competitor, problem writer, or experienced coach to middle or high school scholars, • Experience teaching or coaching in an environment where there was a culture of adult and scholar accountability Skills: • Disciplined, structured, and logical thinker., • Deep content mastery across algebra, number theory, combinatorics, geometry, and proof-writing., • Strong familiarity with the structure, scoring, and preparation pathways for national math competitions., • Ability to be explicit about decision-making when solving complex, multi-step competition problems., • Ability to design curriculum, problem sets, mock contests, and targeted skill drills., • Strong data analysis skills to track scholar growth and adjust preparation strategies accordingly., • Ability to manage and motivate high-performing scholars in rigorous academic settings., • Exceptional communication skills to engage scholars, families, and school leaders., • Organized with high levels of attention to detail., • Ability to self-identify gaps in knowledge or skill and independently work to close them., • School-Based (In-Person): ○ Identify and develop high-potential scholars through push-in support, small-group instruction, and collaboration with math teachers. ○ Support school-based math teams and competition clubs. ○ Administer diagnostics and analyze scholar performance data to determine readiness and training pathways. ○ Partner with school leaders to strengthen competitive math culture and systems. • Remote Coaching (Virtual): ○ Deliver private and small-group competitive math lessons via Zoom. ○ Develop individualized preparation plans for scholars preparing for AMC 8/10/12, AIME, and beyond. ○ Lead advanced problem-solving sessions and proof-writing workshops. ○ Track scholar progress and communicate growth updates to families and school stakeholders. • Prepare scholars to qualify for and excel in advanced competitions, including AIME and USAMO-level problem solving. ○ Design and maintain a structured, vertically aligned training progression across grade levels. ○Foster scholar perseverance, intellectual curiosity, and enthusiasm for mathematical challenge. ○Ensure scholar safety and uphold Success Academy’s high standards of academic rigor and behavior in both in-person and virtual environments. • Ability to commute between assigned school sites during in-person hours., • Ability to maintain a professional virtual teaching environment during remote hours., • Flexibility to support occasional weekend competitions or training sessions., • Collaborate with network and school-based teams to drive measurable competitive outcomes., • Uphold Success Academy’s standards for excellence, professionalism, and scholar achievement. Success Academy Charter Schools is an equal opportunity employer and does not offer employment-based immigration sponsorship. Exact compensation may vary based on skills and experience. This position is not bonus eligible. Compensation Range$66,300—$66,300 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. Current Success Academies Employees: Please apply through the Internal Job Board via Greenhouse. You will be asked to log in through your Okta Profile. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. As a Senior Competitive Math Specialist, you will play a critical role in elevating our network’s competitive math programming by preparing our most advanced math scholars to compete—and win—at the most rigorous regional and national mathematics competitions. This is a network-based position designed to expand and strengthen competitive math opportunities across multiple schools. You will work under the direction of the Network Math Team and in partnership with school-based leaders to design, implement, and refine a comprehensive competitive curriculum that prepares scholars for events such as MOEMS, AMC, NYML, AIME, USAMO, and HMMT. The ideal candidate is a deeply knowledgeable mathematician with a strong understanding of the competitive math landscape. You are fluent in the problem-solving techniques, proof strategies, and advanced content areas required for high-level contests (including algebra, combinatorics, geometry, and number theory). You preferably have firsthand experience succeeding in these events and can translate that experience into structured preparation and inspiration for scholars. This role requires someone who can cultivate a high-expectations, high-joy environment where scholars embrace challenge, persist through complex problems, and develop mathematical maturity. You will serve as both instructor and architect—leading scholar preparation, coaching school-based staff, and building systems that drive measurable competitive success. We are seeking a confident, driven, and strategic leader who is committed to excellence and passionate about developing the next generation of mathematicians! Education: Bachelor’s degree in Mathematics or a related quantitative field required; advanced degree preferred. Experience: Demonstrated success in advanced mathematics coursework Personal experience competing in high-level math competitions (e.g., AMC/AIME/USAMO/HMMT or similar). Preferred: Meaningful positive competitive math experience — as a competitor, problem writer, or experienced coach to middle or high school scholars Experience teaching or coaching in an environment where there was a culture of adult and scholar accountability Skills: Disciplined, structured, and logical thinker. Deep content mastery across algebra, number theory, combinatorics, geometry, and proof-writing. Strong familiarity with the structure, scoring, and preparation pathways for national math competitions. Ability to be explicit about decision-making when solving complex, multi-step competition problems. Ability to design curriculum, problem sets, mock contests, and targeted skill drills. Strong data analysis skills to track scholar growth and adjust preparation strategies accordingly. Ability to manage and motivate high-performing scholars in rigorous academic settings. Exceptional communication skills to engage scholars, families, and school leaders. Organized with high levels of attention to detail. Ability to self-identify gaps in knowledge or skill and independently work to close them. Key Responsibilities: Design and implement a vertically aligned competitive math curriculum across grades 6–9. Lead network-wide preparation for major competitions, including after-school programs, weekend intensives, and vacation boot camps. Coach scholars to qualify for and excel in State Mathcounts, AIME, USAMO, and national-level tournaments. Administer and analyze diagnostic assessments to identify high-potential scholars and track competitive benchmarks. Partner with school leaders and math teachers to integrate competition-style problem solving into core math instruction. Train and develop school-based competitive math coaches to ensure program sustainability and growth. Foster scholar resilience, intellectual curiosity, and a culture that celebrates mathematical rigor and achievement. Develop differentiated training pathways for scholars at varying readiness levels, from foundational competition exposure to elite-level proof writing. Ensure student safety and well-being during all programming. Additional Expectations: Ability to travel between school sites across the Success Academy network. Flexibility to support programming outside traditional school hours (after school, select weekends, competition travel). Work collaboratively with network and school-based teams to ensure strong scholar outcomes. Uphold Success Academy’s standards for academic rigor, behavior, and professional excellence. Success Academy Charter Schools is an equal opportunity employer and does not offer employment-based immigration sponsorship. Exact compensation may vary based on skills and experience. This position is not bonus eligible. Compensation Range$70,000—$80,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our _. Current Success Academies Employees: Please apply through the Internal Job Board via Greenhouse. You will be asked to log in through your Okta Profile. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Prime Video Ads is looking for a Senior Product Manager - Technical to help define and launch new ad formats and viewer experiences that will change how advertisers engage with streaming audiences around the world. As a Prime Video Ads technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art ad experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. Our team is driving innovation in areas like interactive video ads, pause ads, and live sports advertising—and we're looking for passionate product leaders to help us invent what comes next. As a Senior PMT, you will invent, improve, and drive new ad format experiences from end to end, to surprise and delight both customers and advertisers alike. You'll own the user experience, design, and technology required to deliver exceptional ad experiences for our customers, and you will play a key role in determining how we commercialize them for advertisers. You'll work across Prime Video Ads, Prime Video, and the broader Amazon Ads organization to conceptualize, experiment, launch, and scale products that balance viewer experience quality with advertiser effectiveness. You must have strong business judgment, customer obsession, and be technical with a passion for streaming and digital advertising. You must be able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves and get the job done. You leverage mental models and data-driven decision making, and can effectively communicate verbally, and in writing, with leaders of all levels. Desired experience for the role includes: Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment Experience in digital advertising, ad tech, or ad-supported media products, including understanding of ad serving, targeting, measurement, and the broader ad tech ecosystem Experience working with AI/ML technologies to build product experiences, particularly in how AI can enable or enhance new product capabilities Proven ability to make smart features versus time-to-market trade-offs; experience using data and metrics to back up assumptions and assertions of business value Key job responsibilities Develop and execute product strategy for new ad formats and viewer experience innovations in Prime Video, driving the roadmap from concept through launch and iteration Lead or critically influence planning and execution of all aspects of product implementation, including product definition, engineering delivery, and go-to-market Work across Prime Video Ads, Prime Video, and Amazon Ads organizations to conceptualize, experiment, launch, and scale products that balance viewer experience quality with advertiser effectiveness Build and drive partnerships with key stakeholders across multiple organizations to foster best-in-class product vision and achieve shared objectives Partner with engineering, applied science, design, and business teams to translate customer insights and business strategy into clearly defined product requirements and user stories Identify new ad format opportunities by analyzing viewer behavior, advertiser needs, competitive landscape, and emerging technologies including AI Manage prioritization and trade-offs to ensure delivery of exceptional viewer experiences while meeting business goals Leverage data-driven decision making and experimentation to validate hypotheses and optimize product performance Build and scale profitable programs for Prime Video A day in the life You might start your day reviewing experiment results from a new ad format test, then move into a technical deep dive with engineering on implementation feasibility. You'll analyze viewer engagement metrics and advertiser performance data to inform prioritization decisions. You'll write strategy documents proposing new format innovations, lead alignment discussions with cross-functional partners, and work through trade-offs with your team. You'll collaborate with stakeholders across Prime Video Ads, Prime Video, and Amazon Ads to ensure your products integrate seamlessly with broader systems and business goals. You will operate with autonomy and high visibility, taking on product opportunities that span from strategic thinking to hands-on execution. You will deliver recommendations to senior leadership and drive alignment across levels, functions, and organizations. • Experience owning/driving roadmap strategy and definition, • Experience with feature delivery and tradeoffs of a product, • Experience contributing to engineering discussions around technology decisions and strategy related to a product, • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning, • Experience in technical product management, program management or engineering, • Experience with end to end product delivery, • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight, • Experience in building and driving adoption of new tools, • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, NY, New York - 166,300.00 - 225,000.00 USD annually USA, VA, Arlington - 151,200.00 - 204,600.00 USD annually

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description WHO WE ARE At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide. Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like. Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays. About the team The Data team at Trustly is the backbone of our decision-making and product innovation. We are a global, multidisciplinary collective of Software Engineers, Data Engineers, Machine Learning Specialists, Scientists, and Analysts who believe that data is more than just rows and columns - it is the fuel for a more transparent financial ecosystem. We operate at the intersection of high-scale engineering and deep financial intelligence. Our team processes millions of transactions in real time, turning complex Open Banking signals into seamless payment experiences. We pride ourselves on a culture of intellectual curiosity, technical excellence, and extreme ownership. About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as Trustly’s most senior data executive, responsible for the strategy, architecture, and execution of the company’s global data program. This is a broad, high-impact mandate: you will own the data platform that underpins our products and operations, the datasets that drive business decisions, the analytics capabilities that serve our internal and external stakeholders, and the machine learning and artificial intelligence initiatives that will define Trustly’s competitive edge in the years ahead. You will be a key member of the extended C-suite, partnering with the CTO, CPO, CFO, and business leaders across the company to turn data into product, revenue, and risk advantage. You will set the vision for how Trustly thinks about data as a first-class asset, while building and leading the engineering, science, and analytics teams to deliver on that vision at scale. What you’ll do Global Data Platform & Infrastructure • Define and execute the strategy for Trustly’s global data platform, including data lakehouse architecture, streaming and batch pipelines, data cataloging, observability, and correctness., • Own the end-to-end data engineering function, ensuring reliable, scalable, and cost-efficient data infrastructure that serves product, analytics, risk, and compliance use cases across all geographies., • Drive the evolution of Trustly’s data stack, making deliberate build-vs.-buy decisions and managing a best-in-class ecosystem of data tools and vendors., • Establish and enforce data standards, taxonomy, and governance frameworks that enable self-service access without sacrificing data quality or integrity., • Partner with Engineering and Infrastructure teams to ensure the data platform meets the availability, security, and regulatory requirements of a globally operating payments company. Data Strategy & Key Datasets • Identify, develop, and steward Trustly’s highest-value proprietary datasets, including transaction-level payment data, bank account intelligence, consumer behavioral signals, and merchant performance data., • Define a long-term data strategy that turns Trustly’s unique data assets into durable competitive advantages - for risk management, product differentiation, and potential new revenue streams., • Oversee data governance, data lineage, and master data management programs, ensuring a single source of truth across the organization., • Champion data quality and reliability as foundational standards, implementing frameworks that ensure confidence in data used for business-critical decisions., • Collaborate with Legal, Compliance, and Privacy teams to ensure responsible and lawful use of data across all jurisdictions, including under GDPR, CCPA, and relevant open banking data regulations.Analytics & Business Intelligence, • Build and lead a world-class analytics function that delivers actionable insight to business stakeholders across Product, Finance, Risk, Operations, Sales, and the C-suite., • Establish a self-service analytics culture, enabling non-technical teams to access, explore, and act on data confidently and safely., • Own the development of key performance metrics, executive dashboards, and board-level reporting, ensuring data is accessible, accurate, and impactful at every level of the organization., • Partner with merchant-facing teams to develop external analytics products and insights that deepen Trustly’s value proposition with key partners and enterprise clients. Machine Learning & Artificial Intelligence • Lead Trustly’s machine learning and AI program, setting the technical vision and organizational structure for applied ML across fraud detection, risk scoring, payment success optimization, personalization, and operational automation., • Build and grow a team of machine learning engineers and data scientists, establishing rigorous practices for model development, validation, deployment, and monitoring., • Drive the responsible adoption of generative AI and large language models where they can create meaningful productivity or product value, with appropriate governance and oversight., • Define and maintain Trustly’s AI ethics and model risk management framework, ensuring fairness, explainability, and regulatory compliance across all deployed models., • Stay current with the rapidly evolving AI/ML landscape and translate emerging capabilities into concrete business opportunities for Trustly. Leadership & Cross-Functional Partnership • Recruit, develop, and lead a high-performing, global team of data engineers, analytics engineers, data scientists, ML engineers, and BI analysts., • Foster a data-driven culture across Trustly, partnering with senior leaders to raise the overall level of data literacy and analytical rigor in decision-making., • Represent Trustly’s data capabilities externally with partners, regulators, and the broader industry, where relevant., • Contribute to the broader technology leadership team, collaborating with the CTO and peer executives on cross-cutting strategy and resource allocation.Who you are, • 15+ years of progressive experience in data engineering, data science, analytics, or a closely related technical discipline, with at least 5 years in a senior leadership role., • Demonstrated success building and scaling data platforms and teams in high-growth, data-intensive technology or financial services environments., • Deep expertise in modern data architecture: cloud data warehouses (Snowflake, BigQuery, Redshift), data lakes, streaming platforms (Kafka, Flink), and orchestration frameworks., • Hands-on understanding of machine learning and AI methodologies, with experience overseeing applied ML programs in production at scale., • Strong command of data governance, data quality, and regulatory compliance requirements relevant to financial services and global data privacy law (GDPR, CCPA)., • Track record of translating complex data strategy into business outcomes, with the communication skills to influence C-suite and Board-level audiences., • Experience managing geographically distributed, cross-functional data teams in a global organization., • Prior CDO, VP of Data, or equivalent executive title at a technology company, payments platform, or regulated fintech., • Experience in payments, open banking, financial services, or another highly regulated, data-rich industry., • Familiarity with transaction-level payment data, fraud modeling, credit risk scoring, or consumer behavioral analytics in a financial context., • Proven experience building or scaling ML platforms and MLOps infrastructure for production model deployment and monitoring., • Experience with generative AI and large language model deployment in an enterprise context., • Advanced degree (M.S. or Ph.D.) in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience., • Experience with pre-IPO data program build-out and supporting data-related due diligence. Applications for this role are accepted on an ongoing basis. LOCATION & WORKPLACE This is a hybrid role based out of our San Francisco or New York hubs. We look for team members to be in the office Tuesday through Thursday. SALARY RANGES IN US-BASED ROLE POSTING Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Recruiters can share more information with applicants about the specific salary range for preferred locations during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only and do not include other perks and benefits. WHAT WE OFFER At Trustly, you will have the chance to solve meaningful challenges alongside some of the brightest minds in FinTech. Together, we are shaping the future of payments in an environment that celebrates curiosity, collaboration, and innovation. You will be challenged and empowered to grow, making a real impact every step of the way. Our team is as diverse as the global footprint we serve, with colleagues across Silicon Valley, the U.S., Canada, Brazil, Europe, and beyond. At Trustly, we foster a workplace where everyone feels they belong—a place where teamwork thrives, ideas flourish, and we never forget to have fun along the way. We offer innovative perks and benefits packages that include: • Flexible paid time off & generous PTO accrual plans, • Comprehensive medical, dental, vision, and other insurances, • FSA & HSA plans for medical and dependent care, • Home office set-up allowance, • Internet stipend, • Retirement plan match for 401k and RRSP, • Gender-neutral paid parental leave, and more! (The benefits and total compensation packages outlined above are for full-time employees; some exclusions apply for temporary positions.) At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 29 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary: e.l.f. Beauty is looking for a digital insights rockstar to join our dynamic, fast-paced, high-growth company. The ideal candidate will have a strong background in data analytics, digital marketing, and ecommerce performance, with a consumer first mindset. This person is highly self-motivated, curious, and strategic yet detail-oriented, with a passion for analyzing data, surfacing insights, and storytelling with data to drive business decisions. This person also has the technical skills associated with querying large data sets and extracting and synthesizing data and insights from disparate data sources and analytics tools. The position will report directly to the Assistant Vice President, Market & Business Insights. The Associate Director, Digital Insights & Analytics will build rigorous measurement frameworks and deeply analyze the digital consumer by institutionalizing standardized journey, behavior, and campaign performance models that optimize our online experience and drive conversions. The role will drive predictive analytics to propose high-impact audience targeting strategies for segmentation and personalization—including propensity modeling, next-best-action, and lifetime value frameworks—to enhance acquisition, retention, and conversion outcomes. This role will be responsible for the aggregating and sharing of digital learnings across brands across paid, owned, and CRM channels, and will translate complex analyses into concise, visually compelling executive-ready decks, dashboards, and story-driven narratives that clearly articulate the “so what,” escalate recommended actions with owners and timelines, and enforce cross-functional accountability through a continuous test–learn–scale cadence that reduces friction, improves incrementality, and aligns teams to north-star metrics for sustainable, profitable growth. The position requires strong partnerships and excellent communication with E-commerce, CRM, IMC, Creative, and Technology business leaders and cross-functional partners, as well as external vendors. This position can be based in any of our e.l.f. offices (NYC, Oakland, CA or LA) within the US.Responsibilities: • Build end-to-end measurement frameworks for digital journeys and behavior across channels, defining stage KPIs, event instrumentation, and north-star metrics to pinpoint friction and drive conversion., • Aggregate and share cross-brand digital learnings via standardized playbooks, taxonomies, and reporting cadences; align stakeholders on common KPIs and data quality for scalable, data-driven decisions., • Deliver marketing mix modeling and attribution within a disciplined framework—set inputs and governance, validate incrementality, and integrate outputs into planning to optimize budgets and channel performance., • Drive the integration, operationalization, and scaling of AI platforms and capabilities across the market & business analytics stack—including adoption of machine learning and generative AI for digital consumer segmentation, experimentation, and insight automation to accelerate decision-making and business impact., • Support measurement and optimization of A/B and multivariate tests to improve website and mobile experiences, increase conversion rates, and reduce drop-off across key funnel stages, • Lead predictive analytics initiatives and build advanced audience strategies (e.g., lookalikes, churn risk segments, product affinities, propensity) to power targeted media, onsite personalization, and lifecycle communications., • Create executive-caliber visual storytelling artifacts—decks, dashboards, and one-page syntheses—that crystallize digital insights, quantify impact, and escalate actions to drive cross-functional accountability., • Analyze performance against north-star KPIs aligned to broader business goals (conversion, retention, LTV, CAC:LTV), providing actionable insights and variance explanations., • Manage external analytics partners and tools, ensuring deliverables align to business priorities and performance targets; assess competitive landscape and data/analytics advancements to inform best practices and innovation opportunities., • Partner with technology teams to improve instrumentation, data quality, and integration of tools, methods, and processes that support scalable, reproducible analytics.Requirements:, • 8+ years of experience with relevant web/mobile analytics reporting and analysis. 8+ years of experience as a Marketing Data Analyst or similar role, with a focus on ecommerce and digital marketing analytics., • Bachelor’s degree (or MBA) in Business Analytics, Data Analytics, Marketing, Mathematics, Statistics, or related quantitative field, • Outstanding analytical, critical thinking, and organizational skills with high attention to detail. Ability to focus on both strategy and execution., • Deep understanding of marketing metrics, attribution models, and campaign performance measurement, with the ability to provide strategic recommendations., • Experience in developing/maintaining analytics dashboards and developing/maintaining reporting tools for self-serve reporting., • Passionate about customer-centricity and data-driven strategy, with the ability to effectively communicate and influence key stakeholders., • Exceptional at finding trends in the data, articulating the “so what,” and translating insights into strategic, actionable recommendations., • Excellent written and verbal communication and data story-telling skills, including the ability to clearly present findings and recommendations to diverse stakeholders., • Experience in defining metrics and KPIs, visualizing and presenting results, and tying insights back into business strategies and goals., • Advanced SQL experience, • Expertise with web analytics tools, including Google Analytics (GA4 a plus), ContentSquare, Dynamic Yield, Similarweb, Semrush etc., • Experience with CRM management tools, customer data platforms (Hightouch, etc.), • Experience with data visualization tools (Tableau, Power BI, etc.), • Proficient in MS Office core suite (Excel, PowerPoint, Word, Outlook), • Curious, inquisitive, proactive, and interested in digging for insights in data, as well as learning new tools and techniques., • A team player attitude and thrive in ambiguity, proactively identifying opportunities for impact., • Ability to work effectively in a fast-paced, team environment., • Proficiency with more advanced statistical modeling techniques is a bonus (e.g. clustering, classification, segmentation, multiple regression, etc.).The base salary range for this role is listed above. Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications. Compensation components are subject to change at the company’s discretion This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion. e.l.f. Beauty respects your privacy. Please see our Job Applicant Privacy Notice (www.elfbeauty.com/us-job-applicant-privacy-notice) for how your personal information is used and shared. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Application Deadline: Address: 151 W 42nd Street Job Family Group: Audit, Risk & Compliance Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business/management to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks. Teams and Culture: • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do., • Ensures alignment between values and behaviour that fosters diversity and inclusion., • Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through., • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders., • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance. Key Responsibilities: • Develops validation strategies and plans to ensure appropriate type and level of validation of models is carried out., • Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model validation process, standards, guidelines and principles, which includes:, • Lead model validation efforts across various volatility regimes, including stochastic volatility, stochastic-local volatility, and jump‑diffusion frameworks., • Develop, enhance, and maintain independent benchmark models for exotic derivatives (e.g., autocallables, barriers, quantos, range accrual, variance products, hybrids)., • Analyze complex payoff structures and produce accurate pricing, Greeks, and scenario analyses., • Review and validate model calibration routines to vol surfaces, correlation structures, and multi‑asset dynamics, and assess the data for model development as well as inputs to the model;, • Design and implement scalable testing libraries using C++, Python, or similar high‑performance languages., • Compares validation results with model developer results for replicability., • Measures the effectiveness of validation and monitoring framework; recommends changes as required., • Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders. (detailed work), • Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken., • Optimize numerical methods (e.g., PDE solvers, Monte Carlo engines, adjoint methods) to improve performance and stability., • Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations., • Mentor junior quants and contribute to long‑term quantitative research initiatives., • Collaborate closely with trading desks to deliver strategic analytics, improve risk metrics, and support trade ideation., • Provides technical advice and guidance to assigned business/group on implementation of the model validation framework, and resolution of model risk issues., • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group., • Represents the model validation program / portfolio for internal/external regulatory audits and/or examinations. Qualifications • Advanced degree (PhD or Master’s) in quantitative fields such as mathematics, financial engineering, physics, or computer science., • 15+ years of hands‑on experience in equity derivatives model validation or front‑office quantitative research., • Deep knowledge of stochastic calculus, probability theory, and numerical analysis., • Strong programming skills in C++ and Python; experience with distributed computing a plus., • Verbal & written communication skills - In-depth / Expert., • Analytical and problem solving skills - In-depth / Expert., • Familiarity with regulatory frameworks (e.g., FRTB, model risk governance) in a derivatives context. Salary: $150,700.00 - $261,800.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: _ About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at _ BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to _ and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description The GED Instructor will play an essential role in helping refugee clients to prepare for the General Education Development (GED) test and will provide instruction on various subjects including mathematics, science, social studies and language arts. Job Duties: • Develop and deliver engaging lessons aligned with GED curriculum standards in reading, writing, math, science and social studies., • Assess refugee students’ academic levels and prepare students for each section of the GED test., • Integrate technology and educational resources to enhance instruction and administer practice tests and evaluate readiness for official GED testing., • Conduct regular student assessments to determine areas of improvement., • Stay updated on the latest GED test requirements and inform refugee students accordingly., • Continuously learn and apply new teaching strategies and resources to improve student’s outcome., • Participate in and contribute to team meetings, • Perform other duties as assigned by supervisor Job Requirements: • Bachelor's degree in education, adult education, or related field required 1 year of teaching experience, previous experience working in a non-profit or government setting, experience working with immigrants and refugees who have limited English proficiency, preferred. Visit our website www.ccannj.com Internal Applicants: Please be advised that current employees applying to open positions within the Agency are required to fill out an Agency Internal Job Application Form which is available for download to all employees on HR's public folders in Outlook. Please forward the completed form to HR via email to the agency email address indicated at the end of the application form. Agency Mission: In response to the Gospel of Jesus Christ, Catholic Charities, as a ministry of the Archdiocese of Newark, serves the poor and marginalized and advocates for their needs in order to promote the inherent dignity and worth of all people without regard to race, religion, or culture. Benefits: CCAN offers a competitive compensation and comprehensive benefits package for employees, with an 80/20% cost split between employers (80) and employees (20). CCAN is an equal opportunity employer. M/F/D/V. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity, gender expression, national origin/ancestry, citizenship status, disability, age, marital or family status, and military or veteran status. Potential eligibility for federal student loan forgiveness. Salary: $60,000 Powered by JazzHR E4tTAXwCsX

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company's flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution • Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs, • Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor, • Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data, • Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development • Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP, • Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams, • Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation • Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build, • Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management, • Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement • Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge, • Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS • Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred), • Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn), • Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks, • Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed, • Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language, • Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus PREFERRED QUALIFICATIONS • Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems), • Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis, • Analytical experience at a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting, • Experience with ThoughtSpot or Power BI preferred, • Exposure to or curiosity about generative AI and its applications in analytics workflows (natural language querying, entity resolution, or automated insight generation), • Experience contributing to a client-facing analytics product or repeatable analytical framework, • Familiarity with dbt or similar data transformation frameworks

Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. POSITION SUMMARY The Director / VP, Insights to Action will serve as the founding senior leader of the ITA function — responsible for both the analytical quality and the organizational build-out of a small, high-impact team. This is a player-coach role: the successful candidate will personally execute analytical work alongside three Data Scientists, maintaining deep individual contribution while also setting standards, developing team members, and managing client relationships. The role requires an individual who combines quantitative rigor with strong communication skills and fluency in the US specialty pharmacy and pharmaceutical manufacturer ecosystem. The Director / VP will interface regularly with both internal and external stakeholders spanning market access, patient services, and commercial leadership, translating complex analytical findings into clear, actionable narratives. KEY RESPONSIBILITIES Team Leadership & Development • Lead, mentor, and develop a team of three Data Scientists; this is a player-coach role — the expectation is sustained personal analytical output alongside team management responsibilities, • Set and maintain analytical standards, review team work product, and allocate capacity across concurrent client engagements, • Contribute to hiring, onboarding, and capability development as the function scales Client Delivery & Engagement • Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review (QBR) preparation, ad hoc analyses, and ongoing insight production, • Serve as the primary analytical point of contact for senior client stakeholders; present findings to market access leaders, patient services teams, and executive sponsors, • Partner with the Commercial team on analytical content for renewals, new business proposals, and strategic account planning Analytical Frameworks & Insight Generation • Define and maintain a standardized KPI framework for hub program performance spanning six key pre-defined families, • Lead proactive, hypothesis-driven analysis across patient throughput, stage conversion rates, payor dynamics, HCP-level behavior patterns, adherence trajectories, and financial program utilization, • Translate analytical findings into executive summaries, trend narratives, and operational recommendations formatted for manufacturer client audiences Data Infrastructure & Productization • Collaborate with data engineering, Master Data Management (MDM), and BI architecture teams to define data requirements and ensure the analytical inputs underlying ITA are reliable, consistently defined, and properly governed, • Guide the progressive migration of validated ad hoc analyses into productized ThoughtSpot dashboards, contributing to the company’s long-term self-service analytics strategy, • Identify and help resolve upstream data quality and governance issues that affect insight reliability Commercial & Strategic Support • Support the commercial positioning of the ITA capability in coordination with Business Development leadership, including input to RFP responses, pricing discussions, and go-to-market materials, • Contribute to defining the ITA product roadmap — the progression from ad hoc delivery to a scalable, monetizable analytics offering REQUIRED QUALIFICATIONS • 7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM), • Demonstrated experience managing or leading a small analytics team; player-coach orientation is essential — this role requires sustained personal contribution alongside people management, • Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred), • Proficiency in Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn), • Experience with ThoughtSpot or Power BI preferred, • Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks, • Demonstrated ability to communicate complex analytical findings to senior non-technical stakeholders; strong written and verbal presentation skills, • Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree preferred PREFERRED QUALIFICATIONS • Direct experience with pharmaceutical hub program operations, including case management workflows, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs, • Familiarity with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing systems, benefits verification platforms), • Experience with patient access or market access analytics at a pharmaceutical manufacturer, including program performance tracking and payor dynamics analysis, • Background in pharma consulting with a focus on analytics, commercial operations, or market access strategy, • Experience at a health insurer or PBM in a role involving formulary analytics, utilization management, specialty drug analysis, or patient access reporting, • Experience developing or contributing to a commercial analytics product or client-facing insights offering, • Familiarity with generative AI applications in analytics workflows (e.g., natural language querying, synthetic data generation, entity resolution), • Familiarity with dbt or similar data transformation frameworks

• Implementation of consulting projects on accounting and back-office issues in fast-growing companies, • Operational accounting, preparatory accounting as well as interim management, e.g. as accountant, • Execution of monthly closings and management of accounts receivable and accounts payable, • Development and implementation of best-in-class accounting and document management tools, • Execution of accounting tasks as well as posting of accounting issues, e.g. accruals, personnel costs, bank clarification, open items, posting of incoming and outgoing documents, • Review and optimization of interfaces to tax advisors and banks, • A degree or training in economics, finance, mathematics or similar is a nice to have, not a must have, • Additional qualifications, e.g. completed training in balance sheet accounting, • You have relevant professional experience, e.g. as team lead accounting, preferably in a start-up or consulting environment, • You have experience in process automation and digitization and are familiar with various finance and accounting tools, • You are very good in Excel and/or Google Sheets, • You can lead and manage teams (approx. 2 FTE), as well as be responsible for simple projects independently, • You have very good accounting skills and very good knowledge in at least one accounting system, e.g. DATEV, • You have experience in other special accounting topics, such as OSS, intercompany accounting, IFRS, Payroll, additional software systems such as Lucanet., • You have first experience as an interface to different stakeholders, e.g. handling tax consultancies, tax office and auditors, • You have good communication skills in German (approx. C1) and English (min. A2), • You have experience and/or desire for varied project-related work, • An attractive compensation package as well as a varied job with many opportunities to shape the company and a high degree of personal responsibility., • Free choice of your working hours. It's the results that count., • Work completely remote or from our office in Bochum - you decide!, • Company events and regular team events (offline, e.g. Mallorca, and online), • Payment of all costs for trainings and events, • Provision of the hardware you need (Mac, Windows), • Open feedback culture with regular 1:1 meetings and development discussions, • Work in an open-minded, cooperative, dynamic and international team, • The opportunity to play a leading and entrepreneurial role in the exciting phase of building the fastest growing boutique in Germany.

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

Overview We are seeking a driven, inventive, and thoughtful actuarial candidate to guide the adoption of complex models across multiple lines of business. This role will be a part of our Actuarial Predictive Modeling team, which is responsible for ensuring that pricing models are built with actuarial principles in mind. The role involves collaborating with underwriting management, data scientists, and other actuarial teams to build pricing models and evaluate model usage initiatives. More specifically, the candidate will be expected to propose model experimentation ideas during development, recommend expected loss adjustments and guardrails for the final trained models, communicate the benefits and concerns of various technical modeling choices, and influence management decisions related to predictive model usage. This is a supervisory position overseeing one or more members of the Actuarial Predictive Modeling team, with a strong emphasis on people management and team leadership. The candidate will be expected to have a high level of proficiency and knowledge in both actuarial and modeling areas, as well as a genuine interest in developing others. The candidate will guide staff members in both everyday project work and long-term professional development. Effective communication with both technical and non-technical audiences is crucial, as is the ability to understand business priorities, translate them into technical requirements, and manage resources efficiently. The ideal candidate will be able to think quickly on their feet in response to management queries. Additionally, the candidate will own actuarial documentation, play an active role in model filings, and help drive continuous improvements in team workflows. Responsibilities • Collaborate with various teams to understand, develop, and implement predictive models for pricing, portfolio management, and planning purposes, • Ensure appropriate data adjustments and assumptions are applied during model development, • Challenge the model and communicate their strengths and weaknesses to stakeholders, • Validate models for their intended purpose and establish usage guardrails, • Drive decisions and alignment around model rollout, monitoring, and addressing potential misuse, • Provide timely support for model filings as needed, • Maintain positive collaboration with business and stakeholders, promptly resolve inquiries and requests, and communicate effectively to ensure transparency and common understanding of goals and prioritization, • Provide input on cross-departmental steering committees for strategic projects, • Maintain an up-to-date understanding of the insurance landscape, emerging trends, data science concepts, and new technologies impacting pricing models, • Foster a strong risk management culture by maintaining model documentation, managing change management processes, and adhering to established model governance policies and best practices for data and code management, • As a supervisor, work closely with junior staff to oversee the development of professional skills, elevate technical and actuarial knowledge, and guide projects to successful and timely completion, • Develop and enhance team processes to be effective, repeatable, and scalable, • Serve as an actuarial modeling expert by providing technical model support and relevant training to other actuaries and underwriters within the organization Qualifications • Bachelor's degree in Actuarial Science, Mathematics, or a related field, • 5+ years of actuarial pricing experience, ideally in small commercial insurance, • ACAS or FCAS designation and in good standing with the Casualty Actuarial Society, • Strong data exploration and manipulation skills, ideally in SQL, R, or Python, • Experience working with Git, • Solid understanding of statistical methods applied to insurance data, with the ability to identify and articulate data and modeling issues, • Experience with predictive models for Pricing including understanding of assumptions, interpretation of results, and standard model evaluation techniques, • Experience with modern machine learning technologies such as GBM, • Experience managing, supervising, or mentoring team members, • Proven ability to build consensus and drive large-scale projects to conclusion, • Ability to build a sense of trust and rapport that creates an effective workplace, • Excellent problem-solving skills and attention to detail, • Demonstrated ability to experiment with and learn new technologies The expected salary range for this role is $75K-$165K/year. Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations.

Arcana is a portfolio intelligence platform used by hedge funds and asset managers to analyze performance, risk, and portfolio exposures. We’re rethinking the analytical infrastructure institutional investors rely on—and we’re hiring driven problem solvers who want to help shape the future of investment technology. This is not a traditional client support role focused on scripted responses or ticket routing. Our Client Solutions / Support Associates work directly with sophisticated investment firms to help resolve analytical and operational issues, support onboarding and implementation workflows, and ensure clients are successful using Arcana’s platform. If you enjoy solving problems, working closely with institutional investors, and operating at the intersection of finance, analytics, and technology, we’d love to talk. Responsibilities • Serve as a primary point of contact for client questions, issues, and platform support requests, • Troubleshoot and resolve client issues across portfolio analytics, data workflows, and platform functionality, • Support onboarding and implementation projects for hedge funds and asset managers using Arcana’s platform, • Work closely with portfolio managers, analysts, operations teams, and risk teams to understand workflows and resolve analytical questions, • Coordinate cross-functionally with product, engineering, and data teams to investigate and escalate complex issues, • Help improve internal support processes, documentation, and client workflows, • Identify recurring client pain points and provide feedback to help improve platform capabilities and user experience, • Clearly communicate solutions, platform functionality, and analytical concepts to institutional users Requirements • 1–4 years of experience in a client-facing, analytical, operations, or support-oriented role within financial services, fintech, or investment technology, • Strong problem-solving and troubleshooting abilities with high attention to detail, • Excellent communication and interpersonal skills, • Ability to manage multiple client requests and priorities in a fast-paced environment, • Strong organizational skills and ownership mentality, • Comfort working with financial concepts, data workflows, and analytical platforms, • Demonstrated interest in financial markets, portfolio management, or investment technology, • Ability to collaborate effectively with clients, product managers, engineers, and data teams Qualifications • Bachelor’s degree in Finance, Economics, Engineering, Mathematics, Computer Science, or a related field, • Strong academic performance preferred, • Experience with Excel and analytical tools required, • Familiarity with Bloomberg, FactSet, Aladdin, or similar financial platforms is a plus, • Experience with SQL, Python, or other analytical/programming tools is beneficial but not required, • Previous experience supporting institutional clients or enterprise software users is a plus Location Open to New York, Chicago, or Remote

Job Title: Investment Strategy/Portfolio Analytics Associate Location: New York - Midtown Position Overview A prestigious quant investment manager is seeking an analytical and client-focused Investment Strategy Associate to join its growing team in New York. This individual will work closely with investment professionals and external, institutional clients and family offices to support portfolio customization, investment analysis, and strategic implementation across accounts. The ideal candidate is intellectually curious, detail-oriented, and comfortable operating in a dynamic, fast-paced investment environment. This role requires strong communication skills, quantitative aptitude, and the ability to translate complex investment concepts into actionable insights. Key Responsibilities • Serve as a key liaison between clients and internal investment teams regarding portfolio-related inquiries and customized requests, • Partner with portfolio managers and trading teams to implement client-specific investment objectives and portfolio adjustments, • Perform portfolio analytics, attribution analysis, and investment reporting for internal and external stakeholders, • Support ongoing monitoring of client portfolios to ensure alignment with investment mandates and objectives, • Develop presentations, analyses, and reporting materials for senior leadership and clients, • Collaborate cross-functionally with research, trading, operations, and client coverage teams to enhance investment processes and client experience Minimum Qualifications • Bachelor’s Degree completed in Finance, Economics, Mathematics, Statistics, or other related quantitative disciplines from a top program, • 2+ years of relevant experience in a client-facing capacity within asset management, investment consulting, wealth management, or a related financial services environment, • Experience working with a variety of asset classes (equities, fixed income, structured products, etc.), • Strong analytical and problem-solving capabilities with the ability to synthesize complex information, • Experience working with Python and data analysis tools such as Pandas, • Excellent verbal and written communication skills with the ability to present technical concepts clearly to diverse audiences, • Ability to thrive in a collaborative, entrepreneurial, and fast-moving environment

Embark on a Journey That Makes a Difference. At Generali Global Assistance (GGA), every day is an opportunity to help people explore the world with confidence. We’re not just in the business of protection—we’re in the business of adventure and peace of mind. Whether it’s a backpacker trekking through the Andes, a family cruising the Mediterranean, or a solo traveler chasing the Northern Lights, we’re there to ensure their journey is safe and supported. From assisting with emergency medical claims to guiding customers through trip disruptions or ID theft, your work helps turn travel challenges into stories of resilience. Set Sail on a Career Path to Success. Our teams value curiosity and collaboration while priding ourselves on fostering a welcoming and inclusive atmosphere for our employees. Elevate your journey through our internal programs, including: • Diversity, Equity, and Inclusion (DEI) Committee, • Career pathing and Individual Development Plans, • Internal training and intern opportunities, • Women in Business Mentorship Program, • Employee awards and recognition, • Education and professional development assistance program Passport to Perks Includes: • Generous Employer contribution for health, dental, and vision insurance, • Paid Maternity and Paternity Leave, • Scholarship Program for Employee Dependents, • Company match on 401k, • Employee Assistance Program (EAP), • Company paid short-term and long-term disability insurance, • Company paid life insurance, • Voluntary Pet Insurance, • Voluntary Legal Benefit, • Discounts on travel insurance, • Time off policies including vacation days, sick days, personal days, holidays and volunteer days (VTO) Pay Range: $190,000.00 - $230,000/yr Your Role on the Expedition: This position is responsible for managing the Pricing function and directs the work of junior and senior actuarial analysts. This position is a technical expert on pricing, monitoring underwriting results, and other actuarial valuation functions. Responsible for planning and directing complex financial and actuarial activities in conjunction with product implementations by performing the duties listed below, personally or through staff. This position works with all management levels across the organization and is a direct report to the Chief Insurance Officer. Chart Your Course: • Performs analysis on profitability at a product and account level resulting in recommended actions to achieve company targets, • Responsible for the company’s rate level indication and pricing segmentation methodology. Works with Chief Insurance Officer in improving such methodology and quality of calculations by researching, developing and adopting most appropriate actuarial techniques for the company’s type of business, • Files and gains approval of rating structure and rate levels of all products, • Tracks the underwriting profitability of lines of business and accounts. Advises Chief Insurance Officer when lines of business are performing poorly, identifying root causes and recommending strategies and tactics to improve performance, • Coordinates with Management Team, Sales, Product and Finance to respond to product, account and market trends, • Supports the budget and forecasting process as needed by assessing impacts of changing rate levels, • Directs staff to continuously refine methods and models to determine pricing and profitability more accurately, • Applies knowledge of mathematics, probability, statistics, principles of finance and business to calculation in insurance and services, • Work with product implementations to develop and price new product features, • Assist in the Identification and recommendation of product features for prospective accounts, • Oversees the installation and initial quality assurance testing of product parameters, prices and commission models into Company’s operating system, • Coordinates with Business Excellence, IT, Reconciliation and Product Team to develop creative solutions to implementation challenges in order to meet customer needs, • Build and maintain a high-performance team-based culture through effective performance management, career development, communication and coaching of staff, • Manage all personnel activities of staff (i.e., hires, trains, rewards, motivates, disciplines, terminates, performance reviews, and pay discussions) Your Ticket to Success: • Four or more years related experience, • Two or more years in a leadership or management position, • Extensive knowledge concepts, practices and procedures in the field Education/Certification: • High School Diploma or Equivalent (GED) required., • Bachelor's degree (B. A.) from four-year college or university, • FCAS (Preferred) Position Coordinates: This is a hybrid role based out of our New York, NY office. As a hybrid role, you will be working onsite 2 days a week and working from home 3 days a week. Time for Take-off: While there is some flexibility in the hours, this position will be Monday-Friday during regular business hours (approximately 8:00am-5:00pm). Occasional overtime may be required according to business need. One team. Every destination. Generali Global Assistance is proudly part of the _ Group and our products utilize a number of corporate and product brands. The brands for our North American team include the following: • CSA: US travel insurance brand for retail, tour operator, cruise and lodging partners. Learn more _., • Generali Global Assistance (GGA): The primary Corporate brand in the United States for our travel insurance, travel assistance, identity and cyber protection, and beneficiary companion products. Learn more _., • GMMI: the industry standard for global medical cost containment and medical risk management solutions. Learn more _., • Iris, Powered by Generali: identity and digital protection solution. Learn more _. Explore new horizons – apply today! Don’t meet every single requirement? At Generali Global Assistance, we are dedicated to building a diverse, inclusive and enriching workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. California Residents - Privacy Notice for California Residents Seeking Employment with Generali Global Assistance is available here: https://us.generaliglobalassistance.com/privacy-notice-for-california-residents-seeking-employment/ The Company is committed to providing equal employment opportunity in all our employment programs and decisions. Discrimination in employment on the basis of any classification protected under federal, state, or local law is a violation of our policy. Equal employment opportunity is provided to all employees and applicants for employment without regard age, race, color, religion, creed, sex, gender identity, gender expression, transgender status, pregnancy, childbirth, medical conditions related to pregnancy or childbirth, sexual orientation, national origin, ancestry, ethnicity, citizenship, genetic information, marital status, military status, HIV/AIDS status, mental or physical disability, use of a guide or support animal because of blindness, deafness, or physical handicap, or any other legally protected basis under applicable federal, state, or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruitment and hiring, classification, placement, promotion, termination, reductions in force, recall, transfer, leaves of absences, compensation, and training. Any employees with questions or concerns about equal employment opportunities in the workplace are encouraged to bring these issues to the attention of Human Resources. The Company will not allow any form of retaliation against individuals who raise issues of equal employment opportunity. All Company employees are responsible for complying with the Company’s Equal Opportunity Policy. Every employee is to treat all other employees equally and fairly. Violations of this policy may subject an employee to disciplinary action, up to and including termination of employment.

About the Firm A market-leading direct lender and experienced private credit manager specializing in financing solutions for companies backed by private equity sponsors. Hybrid schedule of 3x per week in office. About the Role The Compensation Manager serves as a subject matter expert supporting the design, execution, and ongoing governance of the firm's compensation programs. The seat sits within a tight-knit Strategic Accounting & Finance group and partners closely with cross-functional teams to deliver market-competitive, equitable, and compliant compensation solutions. The ideal candidate brings strong analytical rigor, sound judgment, and the ability to operate effectively in a complex, fast-paced environment. Key Responsibilities • Lead execution of annual and mid-year compensation cycles including project management, data integrity, reporting, and system administration, • Provide compensation recommendations across client groups for new hires, promotions, and associated pay adjustments using market data and internal equity principles, • Conduct in-depth benchmarking and job matching to ensure ongoing market competitiveness across roles and geographies, • Ensure compliance with applicable federal and state employment statutes; stay current on compensation-related legislation and trends, • Perform pay equity analyses and support remediation efforts as organizational needs evolve, • Partner closely with the Payroll team to ensure timely and accurate payment and tracking, • Research and respond to compensation-related requests from employees, Finance, and HR, • Conduct ad-hoc compensation and budget analyses Qualifications • Bachelor's degree in Business, Finance, Mathematics, or related field, • 6+ years of experience on a Compensation or Total Rewards team - financial services industry experience required, • Experience with Beqom preferred Compensation & Benefits Competitive base salary plus performance bonus. Benefits include 401(k) match, generous PTO, comprehensive medical/dental/vision (largely employer-covered), parental leave, fertility and family planning programs, concierge medical services, financial planning support, and firm-sponsored gym memberships.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Digital Strategist, Paid Social Media Digital Media | New Media & Internet | Marketing & Advertising Hybrid | New York, NY | United States (U.S.) $65,000-$90,000 Base + Benefits A leading, innovative digital media company seeks an experienced Digital Strategist, Paid Social Media to successfully manage paid social campaigns, analyze campaign performance, and report campaign insights to meet business growth in the Eastern United States. THE ROLE: As Digital Strategist, Paid Social Media, you will work cross-functionally and lead the analysis of large amounts of social media data to generate key insights that enable senior leadership, thus driving digital optimization & business growth. You will be responsible for: • Collecting, cleaning, and analyzing social media & marketing data using Google Analytics, • Designing & executing A/B tests and analyzing/interpreting results; performing website tracking, • Extracting key insights from analyses & tests, and delivering data-driven recommendations YOUR SKILLS: • Progressive commercial digital/marketing/web analytics experience in media, eCommerce, etc., • Proficient in Paid Social platforms (i.e., Facebook, Instagram, LinkedIn, YouTube, Snap, etc.), • Proficient in gathering, cleansing & analyzing website data in Google Analytics (i.e., GA360, GA4), • Familiar with/ digital data platforms & tools (i.e., Adobe Analytics, Google Tag Manager, Salesforce), • Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL, • Proficient in building customized dashboards using BI tools (i.e., Looker, Power BI, Qlik, Tableau), • Proven commercial experience designing, executing, and analyzing statistical tests (i.e., A/B), • Strong knowledge of media channels & concepts (i.e., Display, Paid Search, SEM, SEO, Social), • Proven commercial experience extracting insights from web data (i.e., clickstream, website traffic), • Well-versed in advanced analytics techniques (i.e., LTV, trend analysis, user journey analysis), • Comfortable working cross-functionally with/ technical & non-technical teams; presenting to leaders, • Strong verbal/written communication, negotiation, and presentation skills across the business, • Bachelor's degree in Business, Computer Science, Economics, Engineering, Mathematics, Physics, Psychology, or related field; M.B.A. or M.S. preferred BENEFITS: As a Digital Strategist, Paid Social Media, you can make up to a $90,000 base salary (depending on your experience). HOW TO APPLY: Please register your interest by submitting your resume to Oisin Ennis via the apply link on this page.

As a Digital Analyst, you will be responsible for extracting actionable insights from diverse data sources to fuel our digital growth. The Digital Analytics team plays a critical role in helping cross functional partners understand the drivers of site performance while providing actionable insights to drive future strategy across online merchandising, web product management and desktop and mobile shopping experience. Primary Responsibilities: • Utilize Adobe Analytics, SQL, Tableau to create reports, • Analyze web analytics and other data to identify trends and provide insights to optimize digital merchandising strategies, • Design and execute A/B and multivariate tests across digital channels, translating results into actionable insights, • Build and maintain dashboards and reporting in Tableau to track performance and inform decision-making, • Support and oversee analytics implementation (tagging, event tracking, data quality across platforms like Adobe Launch, GA4/GTM), • Partner cross-functionally with Product, CRM, and Media teams to define measurement plans and optimize performance He/she will play a critical role in delivering accurate, insightful analysis to drive decision-making throughout the organization • The person must be comfortable working with partner teams, conducting both planned and ad hoc analyses, • Collaborate with business, technology, and analytics partners to determine data needs and establish data collection requirements based on those needs, • Generate insight from digital data and proactively communicate opportunities or issues, • Leverage analytics to continuously recommend optimization tactics that will improve product performance, • Utilize business and analytical expertise to independently perform proactive analysis and solve business problems that business partners may sometimes not know they have, • Discover areas of opportunity for data improvement and follow-through to see those improvements implemented, • Use statistical rigor to solidify validity of findings and be able to explain those concepts to non-experts, • Independently seek out additional information to round out analyses and confirm assumptions Qualifications • Stellar SQL and MS Excel skills, • Years digital analytics experience, • Adobe Analytics experience preferred, • Ability to derive actionable insights from data and effectively guide decision-making, • Understanding of Digital and Ecommerce terminology, • Knowledge of statistical testing methodologies, • Bachelor's degree in analytical/quantitative field - e.g. statistics, economics, mathematics, marketing analytics, finance, engineering, etc

We are looking for a dedicated Assistant Trader to work under this trader as a Junior Trader. This is a unique opportunity to work directly under a seasoned trader, managing a significant portfolio across multiple accounts. You will be watching the markets, doing deep level research, and executing hundreds of trades per day, primarily in the small cap equities market. We are looking for an individual who "loves the game" of trading but prefers the strategic and analytical side of execution over the high-stress personal risk of independent trading. Whether you are a veteran of the industry looking for a more structured environment or a brilliant engineering mind ready to break into finance, this role offers a direct mentorship path to potentially bigger roles in the future. Responsibilities • Trade Execution & Management: Executing buy and sell orders for various financial instruments, including small cap equities and options contracts., • Deep-Dive Research: Acting as a lead researcher and analyst to identify market inefficiencies and optimize entry/exit strategies., • Operational Optimization: Closely monitoring routing and slippage to ensure the highest quality of execution., • Strategic Growth: Collaborating directly with the head trader to share insights, trends and ideas for optimization., • Performance Reporting and record keeping: Analyzing daily, weekly, and monthly performance metrics to ensure all managed accounts are being monitored. Requirements • Education & Background: A Bachelor’s degree in Finance, Economics, Mathematics, Statistics, or Computer Science (specifically for algorithmic trading) is preferred but not necessary, • Trading Experience:, 1–3 years of experience in market analysis or trading, • Skill Set: Exceptional quantitative, analytical, and risk management skills. You must demonstrate the ability to work under high pressure and make split-second decisions., • Technical Proficiency: Knowledge of programming languages like Python or MATLAB is a significant advantage for our automated and quantitative strategies., • Excellent knowledge of trading protocol - must have a good understanding of market tactics such as short selling and options trading strategies, as well as dark pool routes and bid/ask level 2, • Hungry and highly motivated individual, • Very good communication skills, • Flexible work hours - many days you will be expected to be working 12 hours. —------------- COMPENSATION & BENEFITS • Compensation: USD6,000 - USD8,000, • Location: Onsite in Puerto Rico, Open to Hybrid mode Growth Path: Clear trajectory

Upper Elementary School STEM Teacher (2026 - 2027 School Year) Coney Island Preparatory Public Charter School Brooklyn, New York What is the Role? Come teach in an elementary school that feels like an elementary school. The culture of appreciation and recognition stands out through celebrations of culture, professional achievement, and academic success. The joy is palpable in and outside the classroom and our PRIDE values - Personal Power, Reflect, Inspired Action, Dedicated to My Team, Expect Greatness - are what we encourage in our scholars and uphold for each other. What You’ll Be Asked To Do • Internalize standards-aligned curriculum and content; Eureka2/Zearn for Math, Amplify Science; on a daily basis, teach academically rigorous and culturally relevant lesson plans, materials, and assessments, and differentiate as needed, • Be proactive in creating a positive, structured, results-oriented, and fun learning environment that supports the needs of students with various abilities and experiences, • Be punctual and be present, • Communicate effectively with all scholars, their families, and staff, • Commit to a culture of consistently implementing school-wide systems, structures, and procedures, • Eradicate the effects of racism, poverty and other forms of oppression in our school community by making resources, opportunities, support systems, and classrooms equitable and accessible for all our stakeholders, • Analyze instructional and culture data to action plan and improve teaching practice to strengthen student outcomes, • Participate in school community responsibilities such as lunch duty, dismissal and hallway duties, whole-school events, daily morning meeting, weekly advisory groups, weekly data meetings, weekly content team meetings, whole-staff professional development, lesson internalization and practice, and weekly grade team meetings What You’ll Need • Passion for education and a dedication to Coney Island Prep’s mission, beliefs, and values and its commitment to anti-racism, • Steadfast belief that all students can achieve at the highest academic levels and deserve an opportunity to succeed in the college and career of their choice, • Bachelor's degree and NYS teaching certification required, Master’s degree strongly preferred; we offer $2,000 towards the completion of a Master’s degree and NY State certification within two years of employment, • Cultural competencies and a willingness to examine your beliefs and biases across lines of difference, • Culturally responsive and age appropriate conflict resolution skills, • Proven organizational, oral, and written communication skills; timeliness; accuracy; and consistent and regular communication; and ability to meet deadlines, • Reflective and open to feedback, with the ambition to develop your teaching craft; hunger and curiosity for learning, • Self-awareness insofar as how the outputs of your work contribute to the school’s success, • A positive, solution-oriented attitude and drive for excellence, • Eagerness to work collaboratively with your coach and grade team, • A strong track record of building positive relationships with families, students and staff, while demonstrating value towards diversity and inclusivity Who are we? At Coney Island Prep Upper Elementary School (CIPUES), we focus on developing the full range of critical thinking skills through a rigorous Common Core aligned curriculum, while increasing exposure to electives in the performing arts. Our scholars transition from learning to read, to reading to learn, tackling new skills through our PRIDE Advisory curriculum, and falling deeper in love with learning and developing a growth mindset. We encourage modern mathematics and algorithmic thinking for the 21st century by pairing the EngageNY curriculum with Zearn to teach a conceptually based math program in small groups, while leveraging technology so students are able to work at their own pace and get instant feedback. Commitment to Anti-racism, Diversity, Equity, Inclusion, and Justice Coney Island Prep is committed to building a team that collectively reflects the various backgrounds, experiences, and identities of our scholars. We recognize and respond to different points of access, so that everyone maximizes their highest potential. We also recognize that because of institutionalized racism and systemic oppression, historically marginalized groups are at a disadvantage when it comes to most application and hiring processes. We want to ensure that all candidates, regardless of their identity, are able to demonstrate their qualifications and are not limited by a lack of opportunity or access. We are committed to creating a space where everyone’s identity is acknowledged, respected, and welcomed. We are intentional about creating an environment where people feel comfortable being their authentic selves at work by constantly examining our organization culture and challenging our traditions. Benefits and Compensation • Lead teachers at Coney Island Prep are provided with salaries that are highly competitive, set through a lens of equity, and based on an individual’s years of lead teaching experience in a K-12 school environment. The salary range for this role is from $71,250-$97,750., • As a regular full time employee of Coney Island Prep, you will be eligible for benefits that include medical, dental, vision, and life insurance as well as a 403(b) retirement benefit package with match and Paid Family Leave., • Staff are provided with a MacBook Air and access to all the necessary technology and resources needed to succeed in their role. Are you “All In?” Our 2026-2027 school year starts August 2026. To apply, head to our _! Coney Island Preparatory Public Charter School is an equal opportunity employer and does not discriminate on the basis of race, religion, color, age, sex, sexual orientation, marital or familial status, national origin, citizenship or disability. We want Coney Island Prep to be a place where students and staff of all backgrounds, experiences, and identities feel as though they are valued and can excel.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Position Overview PACO Group (PACO) is seeking an experienced Senior Estimator – Level III to provide on-site estimating support to the Metropolitan Transportation Authority (MTA) Construction & Development (C&D) organization. The Senior Estimator will work under the direction of the Principal Estimator and will be responsible for preparing, reviewing, validating, and analyzing cost estimates for complex capital program projects across all design phases, including conceptual, schematic, design development, and construction documentation. This role plays a critical function in supporting capital program budgeting, cost forecasting, risk assessment, and scope validation, ensuring estimates accurately reflect current market conditions, project logistics, and design intent. The position requires a highly analytical professional with extensive experience in large-scale infrastructure projects and the ability to collaborate effectively with multidisciplinary stakeholders. NOTE: If you do not meet the required qualifications please do not apply. Key Responsibilities and Duties Estimating & Cost Development • Assist the Principal Estimator in executing comprehensive cost estimating processes for complex capital projects., • Prepare detailed labor and material cost estimates across all design phases, from early conceptual through construction documentation., • Perform quantity take-offs and detailed cost breakdowns for all major construction disciplines., • Analyze drawings, specifications, and technical documents to identify cost drivers, assumptions, and constraints., • Review and finalize unit cost pricing to reflect current market conditions, logistics, and procurement strategies., • Obtain, validate, and incorporate current pricing data from industry databases, contractors, and suppliers. Benchmarking, Risk, and Cost Validation • Review historical benchmark cost data and identify variances from current estimates., • Evaluate estimates to identify potential risks, environmental impacts, financial implications, and schedule impacts., • Support early-stage cost forecasting using industry experience, historical data, and benchmarking methodologies., • Coordinate with architects and engineers to refine scope and improve estimate accuracy. Coordination & Documentation • Coordinate with internal and external stakeholders, including project controls, engineering, architecture, and construction teams., • Consult with the Principal Estimator as needed within the assigned functional area., • Participate in estimate reviews and methodology development under the guidance of the Principal Estimator., • Prepare clear, defensible estimating documentation suitable for capital program decision-making., • Interpret technical documents accurately and promote continuous improvement in estimating practices. Required Qualifications • Bachelor’s degree in Engineering, Architecture, Finance, Statistics, Mathematics, Construction, Project Management, Business Administration, or a related discipline., • Minimum fourteen (14) years of relevant experience, including work on large-scale projects., • Experience leading or independently developing detailed material and cost estimates for major capital projects, typically in the range of approximately $100M to $200M (+/-)., • Demonstrated knowledge of all major construction disciplines., • Demonstrated knowledge of construction costs, budgets, and scheduling practices., • Demonstrated knowledge of construction methods, techniques, and equipment., • Demonstrated proficiency in mathematics, statistics, and cost data analysis. Preferred Qualifications • Estimator or Associate Estimating Professional certification, • Experience supporting capital programs within transit, railroad, or public agency environments., • Prior experience working with MTA, MTA C&D, Metro-North Railroad, or similar public transportation agencies. Skills and Competencies • Strong communication and interpersonal skills., • Excellent team building, problem-solving, and prioritization skills., • Significant analytical skills with a high level of attention to detail., • Demonstrated ability to achieve successful results and promote organizational effectiveness and continuous improvement., • Strong technical writing and cost reporting capabilities., • Ability to manage multiple estimating efforts concurrently and meet deadlines., • Proficiency in Microsoft Outlook, Word, Excel, and PowerPoint, and other estimating software (such as HCSS) within a Windows environment., • Professional judgment, reliability, and commitment to accuracy, quality, and collaboration. Work Environment and Schedule • Full-time, on-site role based out of MNR headquarters in New York., • Standard work schedule is Monday through Friday, eight (8) hours per day; however, the schedule may adjust slightly based on MNR operational needs., • Limited hybrid flexibility (e.g., up to one day per week remote) may be considered, subject to MNR approval, project needs and site requirements., • Contract assignment duration is 12 months, with the possibility of an extension., • Travel within the New York metropolitan area may be required for meetings, coordination activities, or project-related engagements. Compensation • The good-faith salary range for this position is $70–$85 per hour, depending on experience, qualifications and client requirements., • Candidates with greater depth of experience or specialized expertise may fall toward the higher end of the range, and exceptional candidates may be considered for compensation outside of this range, consistent with client budget and company policy. Benefits Summary • 401(k) and 401(k) Employer Matching, • Health Insurance, • Dental Insurance, • Group Life Insurance, LTD and AD&D, • Paid Time Off, • Paid Holidays, • Professional Development Assistance EEO Diversity Statement PACO Group, Inc. is committed to furthering opportunities for everyone in the national construction market. The firm periodically reaffirms this commitment through an active affirmative action plan. It provides Equal Employment Opportunities (EEO) to all employees without unlawful discrimination regarding race, creed, color, national origin, sex, age, disability, marital status, religion, military status, pregnancy, sexual orientation, or citizenship status. As an equal opportunity employer, we have recruited, hired, promoted, and retained an ethnically and socially diverse professional staff. Our efforts to date have produced a multidisciplinary workforce—a record of diversity that extends to the highest levels of the firm's management.

As a Quantitative Trader, you will utilize an in-house trading system—among the fastest and most sophisticated in the world—to develop and deploy algorithmic trading strategies driven by patterns in market behaviour. Responsibilities: • Designing, implementing, and deploying trading algorithms, • Exploring trading ideas by analyzing market data, market microstructure, and alternative data sources for patterns, • Creating tools to support data analysis and pattern recognition, • Contributing to libraries of analytical computations used for market data analysis and strategy development, • Developing, refining, and calibrating exchange simulators Qualifications: • A Bachelor's, Master's, or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or a related STEM field, • Experience in high-frequency or quantitative trading is preferred but not required, • Strong foundation in mathematics and statistics, • Proficiency in back-testing, simulation, and statistical techniques such as auto-regression, auto-correlation, and Principal Component Analysis, • Solid skills in data mining and analysis, with experience working with large datasets, • Familiarity with signal generation and statistical modelling, • Strong programming abilities in Python and/or C++ For more info please reach out to Laura at laura@qenexus.com.

Job Description To be considered for this role, applicants must hold a bachelor’s degree before starting first day of work with Success Academy - a background in education is not required. Thanks for your interest in Success Academy! Running a large, fast-growing, and high-performing network of public charter schools takes a village - families, children, teachers, staff and faculty, advocates, and supporters alike. We are growing fast in New York and expanding to Florida, and we would love to welcome you to our community! We work tirelessly every day to ensure children have access to a fun, rigorous, whole-child education regardless of zip code or economic status. When you join SA, you play a part in giving every student who walks through our doors a fair shot at reaching his or her potential. Hiring for School Year 2026-27! Are you passionate, driven, and looking for an intellectually charged environment where you can make an impact? As a teacher in New York City’s top-performing network of K-12 charter schools, you will join a team of professionals committed to teaching and preparing children from low-income neighborhoods to be self-assured thinkers and leaders, capable of exploring and debating sophisticated ideas, and ready for college and whatever they set their sights on. A background in education is not required. At Success Academy, we provide you with extensive training and a proven curriculum so you can focus on working with your students instead of building lesson plans. As we move rapidly toward our most ambitious years yet, we are looking for great minds with the drive to develop exceptional leadership skills, the collaborative spirit to elevate our learning community, and the passion to put their knowledge to work for profound social impact on behalf of children. Teaching certification and Master's degrees are not required for this role. Career Advancement and Skill Development Success Academy gives you unparalleled opportunities to gain valuable professional skills and advance rapidly with leadership opportunities available both in the classroom and outside. As a teacher at Success you will: Sharpen your communication skills and develop strong, meaningful relationships with students, their families, and your peers and mentors. Become a highly skilled problem solver able to tackle challenges in and out of the classroom. Learn to assess and analyze data to chart your students’ growth and achievement, and tailor your own teaching methods accordingly. Engage in professional development opportunities with school leaders to benefit from targeted, in-the-moment feedback and coaching to improve your performance. Have the opportunity to grow as a leader and ultimately a leader of the entire grade team. There are also opportunities to enter our school leadership track as an assistant principal as well as to transition to our network office. Minimum Qualifications A bachelor’s degree before your first day of work with Success Academy. A rigorous and relevant academic major (i.e, biology, history, chemistry, economics, physics, English, mathematics, engineering). Ability to work in person in New York City. Supervise a classroom of 20+ students. What We Look For Drive for Excellence: You set ambitious goals for yourself and have never been afraid of putting in the hard work it takes to achieve them; Confidence and Presence: You enjoy taking the lead and inspiring others with your passion and commitment; Passion for Content: You relish literature, science, history, and/or math and independently seek to deepen your knowledge of subjects that interest you; Planning and Organizational Skills: You have experience juggling multiple responsibilities and are able to plan around competing priorities; Emotional Intelligence: You have strong instincts for building trusting relationships with people from a wide range of backgrounds; Learner: You are intellectually curious and are motivated to master new skills. You welcome feedback and coaching that will help you achieve your goals; and Grit and Determination: You are not frustrated by setbacks — you see them as an opportunity for growth. At Success Academy, we invest boldly in our teachers through exceptional pay growth, comprehensive health and wellness benefits, and career pathways that enable you to advance into leadership within an average of three years! Health & Wellbeing that Starts Day One • Medical, dental, and vision coverage through Cigna and VSP — effective on your first day. SA covers 82% of our most popular medical insurance plan, or about $9,000 annually, towards your medical, dental, and vision coverage., • Employees receive a $50 cellphone stipend every month! ($600 annually), • Pre-tax savings accounts for healthcare, dependent care, and commuter expenses., • Free and confidential counseling through our Employee Assistance Program and Talkspace., • Backup care for children and adults, fitness and travel discounts. Time to Recharge • Enjoy paid time off during summer break, school vacation weeks, and holidays, • Generous paid parental leave for new parents. Accelerated Growth & Recognition • Intensive training, ongoing coaching, and leadership pathways - most teachers are promoted to leadership positions on average within three years., • Salary growth that provides significant yearly % increases, with opportunities to increase earning potential through performance-based incentives, • An employee recognition program that offers opportunities for awards and acknowledgment. Financial Security for Your Future • 403(b) retirement plan with a 3% employer match., • Quarterly employer contributions to your Health Savings Account (HSA) - up to $2,400/year!, • Income protection through employer-paid short- and long-term disability, and group life insurance coverage., • Voluntary supplemental life insurance, accident, hospital indemnity, critical illness, and legal plans., • All roles qualify for Public Service Loan Forgiveness after 10 years; most schools are eligible for Teacher Loan Forgiveness after 5 years of teaching. Exact compensation may vary based on skills and experience. Compensation Range$65,000—$75,000 USD Success Academy Charter Schools is an equal opportunity employer and actively encourages applications from people of all backgrounds. Compensation is competitive and commensurate with experience. Success Academy offers a full benefits program and opportunities for professional growth. Privacy Policy: By providing your phone number, you consent to receive text message updates from Success Academy regarding your application. Reply STOP to unsubscribe. View our Privacy Policy. We are an equal opportunity employer and value diversity at our organization. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We actively seek applications from people of all backgrounds to strengthen our community and the perspectives needed to flourish in a multicultural world. Success Academy offers a full benefits program and opportunities for professional growth. Success Academy Charter Schools does not offer employment-based immigration sponsorship.

We are looking for a remote Scientific Programmer. KEY DUTIES · Work with NOAA government staff to coordinate science products, algorithm integration, and science processing for the next generation NOAA weather satellites using industry standard software engineering techniques. · Code, test, and document interfaces of moderate to high complexity. · Support science algorithm integration and research-to-operation efforts. Must be able to obtain a security clearance ESSENTIAL SKILLS · 2+ years of experience in C/C++ · 2+ years of knowledge of Unix/Linux · Experience with Python, Perl, or Shell Scripting DESIRED SKILLS · Experience with inter-operability between Fortran 90/95 and C/C++ · Skilled at finding, identifying the cause of, and resolving bugs and anomalies · Experience with CM tools such as Git and GitLab · Experience with container operations (preferably Docker) · Experience with real-time and off-line processing of satellite data, science algorithm development. · Familiarity with scientific data formats such as HDF and netCDF · Experience processing and managing large volumes of data · Previous integration experience · Teamwork, strong inter-personal skills · Ability to obtain and maintain a government security clearance. EDUCATION · BS or greater degree with formal course work in physics, mathematics and computer programming · Educational background or experience in satellites and remote sensing GAMA-1 also offers a variety of benefits, including health insurance coverage, life and disability insurance, 401(k) savings plan, training and career development opportunities, paid holidays and paid time off (PTO - to cover vacation, illness or disability, appointments, emergencies or other situations that require time off from work). For more information click _ ABOUT GAMA-1 GAMA-1 is a rapidly growing technology business that is based in Greenbelt, Maryland. GAMA-1 Technologies provides strategic information assurance, information security, and business enterprise and networking solutions to the Federal Government. Our success is based on the utilization of industry and agency standards, establishment of standardized processes, and IT Services expertise. At GAMA-1, we believe employees should grow, achieve, and develop just as the company grows, achieves, and develops. GAMA-1 is committed to providing our employees with opportunities for career advancement throughout their employment. For more information, visit www.gama1tech.com GAMA-1 is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to: veteran status, uniformed servicemember status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), domestic violence victims, political orientation, status as a smoker or tobacco user, hairstyle, use of a service animal, education status, familial status, HIV/AIDS status, height, weight, reproductive healthcare decisions or any other category protected by federal, state or local law.

Provide feedback to Junior Software Developers (JSDs) on code reviews, share best practices, and support technical growth. Bachelor’s or Master’s degree in computer science or related discipline (mathematics, physics, engineering). We’re looking for a Software Developer who can help with devel

Position Overview The Software Engineer II will provide development and support for Commercial off the Shelf (COTS) products, as well as a variety of customized applications. This position will support the Hanford Site Service Catalog using the PMG software platform. This will include the development of customized screens, the designing and administration of workflows, and SQL database support. This position could also involve .NET and other programming languages with back-end databases developed in SQL Server. Responsibilities may include the operation and maintenance support for legacy systems and website applications. Major Activities (Typical Duties/Responsibilities) • Troubleshoot software production issues, • Design databases, • Design PMG software platform screens and workflows, • Understand and follow established Software Development Process, • Assist with providing estimates, • Assist with gathering requirements from customers, • Assist with developing technical documentation, • Communicate effectively with good written and verbal communication skills, • Perform other duties as appropriate and as assigned. Knowledge/Skills/Abilities • 2 years relevant experience in a multi-platform environment including but not limited to application or database development., • 2 years’ experience in JavaScript, • 2 years’ experience in SQL design/support., • 2 years’ experience in development of applications using .NET technology., • Excellent interpersonal skills with proven ability to work in a team-oriented collaborative environment, • Ability to work in a multi-task, multi-project development environment, • Highly self-motivated and self-directed, • Strong customer relationship skills, • Ability to research, organize and analyze technical information with particular attention to accuracy and detail., • Excellent written and verbal communication skills; including thorough knowledge of proper grammar, advanced vocabulary, spelling, editing and proofreading skills., • Ability to occasionally work during non-standard business hours. Physical Abilities • Sufficient fine motor skills for the use of computers, calculators with an ability to withstand repetitive keyboarding for extended periods of time., • Visual and communications ability are adequate to perform the essential functions of the job., • Ability to kneel, bend and twist at the waist on an occasional basis., • Ability to reach below shoulder height with regular frequency (desk position) and at or above shoulder height on occasion., • Ability to push, pull, carry and lift objects weighing up to 10 pounds on a regular basis, and greater weights on an occasional basis., • Ability to travel by vehicle or aircraft, and ability to safely operate a motor vehicle. Minimum Qualifications • Bachelor's Degree (Computer Science, Mathematics, Management Information Systems, Business or similar) and 2 or more years of IT experience, or an equivalent combination of IT education, training and experience., • Must pass pre-employment background check., • Must pass pre-employment drug screening., • Applicants are required to have REAL ID ACT compliant documentation at time of hire and nothing on record that would prohibit you from gaining access to Department of Energy sites., • Must be able to obtain Department of Energy access badge. Preferred Qualifications • Experience in customizing and developing workflows for Enterprise COTS applications, • Experience with business process development with platforms like PMG, • Experience with ServiceNow, • Experience with Crystal Reports, • 1-2 years’ experience with AzureDevOps or other source control technology. Pay Range: $85,000-$140,000/ yearly Benefits: OSC Technical Solutions offers excellent benefits for eligible employees. Benefits include paid holidays, paid time off, 401k with employer match, dental, vision, health insurance plans through the Federal Employee Health Benefits (FEHB) program, as well as life and disability benefits. OSC Technical Solutions does not discriminate, and the company provides equal employment opportunity for all employees and applicants without regard to race, religion, color, sex, gender, sexual orientation, national origin, citizenship status, age, marital status, pregnancy or parenthood, handicap or disability, genetics, veteran status or any other legally protected characteristic. OSC Technical Solutions adheres to all federal, state and local laws regarding equal employment opportunity and will not discriminate against you in violation of these laws. OSC Technical Solutions reserves the right to apply CIRI Shareholder preference to qualified Shareholders in employment and advancement opportunities. OSC Technical Solutions participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Reasonable Accommodation: OSC Technical Solutions will provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with OSC Global, LLC or any of its subsidiaries, please email _. Important Employment Notice: Federal Contract & RCW 49.44.240: Due to our status as a federal contractor operating within the State of Washington, all applicants and employees must adhere to federal law, which classifies cannabis as a Schedule I controlled substance. While Washington State’s RCW 49.44.240 (which generally prohibits employers from discriminating against an applicant based on their lawful use of cannabis off-site and during working hours) is state law, it does not supersede federal requirements. Zero-Tolerance Policy and Disqualification • Prohibition: The use, possession, or distribution of cannabis is strictly prohibited for all employees, regardless of state law., • Testing: Applicants will be subject to pre-employment drug screening that includes testing for cannabis., • Disqualification: A positive test result for cannabis will result in immediate disqualification from consideration for employment, as mandated by our federal contract obligations. All applicants must be able to comply with all federal regulations, including those concerning controlled substances, as a condition of employment.

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | _ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

AssistRx is a leader in specialty medication access technology and services, partnering with pharmaceutical manufacturers, specialty pharmacies, and healthcare providers to help patients start and stay on therapy faster. Through our advanced solutions—including iAssist, Hub Lite, Therapy Initiation, and real-time connectivity tools—we streamline the patient journey by removing barriers and enabling data-driven decision-making. Our teams combine innovation, empathy, and deep industry expertise to deliver outcomes that matter for patients and the life sciences organizations that serve them. The BI Developer plays a pivotal role in advancing our enterprise analytics ecosystem. This role collaborates across the business to identify analytic gaps, design scalable data models, and deliver high-impact dashboards and insights. You’ll develop new reporting solutions, optimize existing assets, and ensure data accuracy and accessibility across internal and external stakeholders. This is an ideal role for a self-starter who thrives in a fast-paced, entrepreneurial environment and enjoys building data solutions that drive meaningful business outcomes. • Develop, optimize, and maintain data views, models, and tables using dbt., • Work collaboratively with data architects to shape and maintain BI data architecture., • Ensure proper alignment with data specifications and support creation of new data feeds., • Build, enhance, and publish interactive dashboards and reports in ThoughtSpot and Tableau., • Use advanced visualization techniques (e.g., geospatial maps, scatterplots, multi-layer charts) to drive insights., • Optimize dashboard performance for responsiveness and efficiency., • Conduct peer reviews to validate report accuracy, logic, and data integrity., • Partner with subject matter experts to understand internal and external reporting needs., • Field ongoing questions and requests regarding data specifications and analytic deliverables., • Lead client and partner training sessions related to data specifications and reporting tools., • Stay up to date on evolving data standards, business rules, and analytic capabilities., • Follow SDLC best practices and apply consistent naming and documentation standards., • Develop and maintain technical and reporting documentation., • Ensure compliance with enterprise data standards and reporting governance., • Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field., • 5+ years of experience in business intelligence development, systems analysis, or data-focused IT roles., • Hands-on experience with Snowflake., • Experience building data models and transformations using dbt., • Strong proficiency with ThoughtSpot, Tableau, and SQL (advanced query writing required)., • Ability to translate business needs into scalable technical solutions., • Strong communication, problem-solving, and critical thinking skills., • Highly responsive, able to work under pressure, and comfortable managing multiple priorities., • Experience with healthcare or pharmacy data preferred., • Expert-level ThoughtSpot development experience, including TML, Liveboards, and embedded analytics., • Advanced SQL expertise, including performance tuning, complex joins, window functions, and large-scale datasets., • Experience designing governed semantic layers or shared data models., • Familiarity with modern data stack tools (e.g., Fivetran, Airflow, Looker, Sigma)., • Experience supporting external clients or working in a vendor/partner-facing environment., • Background working with healthcare claims, pharmacy data, EMR/EHR datasets, or specialty pharma analytics., • Experience operating in fast-growing, high-change, or startup-like environments., • Understanding of ETL preferred., • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire

Clearance Level: Clearance Eligible US Citizenship: Required Job Classification: Full Time Location: Boston Metro Area Years of Experience: 3-5 years Education Level: Bachelor Degree in computer science, mathematics or equivalent technical degree - Experience may be considered in place of education requirement Position Description: Global InfoTek, Inc. is seeking a highly capable Principal Cloud Architect with extensive experience in cloud computing that includes on premise, hybrid, and commercial cloud management. The architect will be, at least, a mid to senior level engineer capable of mentoring junior developers and engineers. They must be able to provision, manage, and secure cloud infrastructure with expertise through infrastructure as code implementations at an Individual Contributor Level. The Principal Cloud Architect must possess effective communication skills to interact with various stakeholders internal and external to the organization. Required Skills: • Three-plus (3+) years of experience developing production software leveraging modern languages (including: Java, Python, Go, NodeJS, etc.), • One-plus (1+) years of experience developing containerized services deployed in production on orchestration platforms such as Kubernetes, Mesos, Swarm, etc., • Exceptional understanding and experience building and maintaining Kubernetes clusters across hybrid-cloud infrastructure, • Three-plus (3+) years of experience with agile and lean software development philosophies., • One-plus (1+) years of experience working with relational and/or non-relational databases e.g. PostgreSQL, MySQL, MongoDB, Elasticsearch etc., • Two-plus (2+) years of demonstrated experience with modern version control systems such as Git, Subversion, Mercurial, etc., • Within 90 days - CompTIA Security+ CE or other DoD 8570 IAT II certification, • Seven-plus (7+) years of demonstrated experience working as a software engineer leveraging large scale cloud infrastructure as their primary application platform., • Seven-plus (7+) years of demonstrated experience building declarative infrastructure using modern Infrastructure as Code techniques, • Two (2) or more examples of successfully leading software, data center, and/or on-premise infrastructure engineering teams in adoption of cloud, hybrid and on-premise cloud-native architecture., • Demonstrated deep understanding of modern security best practices for cloud infrastructure and networks, • Three-plus (3+) years of demonstrated experience building declarative infrastructure using modern Infrastructure as Code techniques, • Two-plus (2+) experience in scripting (PowerShell, JSON, and Python) Global InfoTek, Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or based on disability. About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. For close to three decades, GITI has rapidly combined pioneering technologies, operational effectiveness, and best business practices.

In North America, our core expertise is related to commercial & military systems in Aeronautics, Aerospace and Transportation:. Bachelor's degree or Master’s degree in Computer Science, Software Engineering or Computer Engineering, or a related Science, Engineering or Mathematics field.

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Principal Statistical Programmer Consultant to join one of our clients. The Principal Statistical Programmer will serve as a senior technical expert responsible for end-to-end programming deliverables, study leadership, and oversight of internal teams and external vendors. This role requires advanced expertise in SAS, familiarity with R, deep knowledge of CDISC standards, and strong experience working on oncology studies and regulatory submissions. Lead programming activities for oncology clinical trials across multiple studies. Develop, validate, and maintain SDTM and ADaM datasets following CDISC guidelines. Oversee production of Tables, Listings, and Figures (TLFs) for study reporting and submissions. Provide SAS programming expertise to support complex data derivations and analyses. Review and ensure traceability, consistency, and quality of all programming deliverables. Act as programming lead for assigned studies, managing timelines and deliverables. Work closely with Biostatistics, Data Management, Medical Writing, and Regulatory Affairs. Coordinate with CROs and external vendors, ensuring compliance, quality, and adherence to Kite’s programming standards. Support integrated analyses including ISS/ISE. Prepare submission-ready programming outputs and documentation, including define.xml, annotated CRFs, and reviewer guides. Ensure all programming meets regulatory requirements (FDA, EMA, PMDA). Contribute to responses for regulatory queries and data requests. Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. 8–12+ years of statistical programming experience in pharma/biotech or CRO. Expert-level proficiency in SAS. Strong understanding of CDISC SDTM and ADaM standards. Significant experience supporting oncology clinical trials (hematologic or solid tumors). Experience supporting regulatory submissions and preparing submission-ready outputs. Excellent communication skills and ability to collaborate cross-functionally. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #Principal#Contract

At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Sr. Director, Biostatistical Consulting (SrDBiosC) to join our A-team (office-based*/remote). As a (SrDBiosC) at Allucent, you are responsible for assisting in the coordination of statistical consulting services within the Biostatistics and Statistical Programming Department. This includes management of direct reports, ensuring appropriate resourcing allocation, and supporting business development and proposal needs. This position contributes to the department, the business unit, and Allucent financial and operational goals. The SrDBiosC, interacts with the BIOSC team and Allucent biostatistics and statistical programming team members, direct reports, executive leadership, other Allucent functional groups and business units. This position maintains compliance with relevant SOPs, regulatory guidelines, and client expectations. The SrDBiosC, provides statistical consulting to sponsors to support clinical program development, protocol development, sample size and endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions. The SrDBiosC is a senior member of BIOSC and supervises according to the organizational chart. In this role your key tasks will include: • Provide statistical consulting to sponsors to support clinical program development, protocol development, sample size calculations, endpoint selection, regulatory interactions, exploratory analyses, scientific meetings, and executive decisions, • Provide statistical consulting for complex and/or novel statistical analyses, • Provide statistical consulting to support clinical development strategies, including extensive interface with client executive and leadership teams, • Provide input and support responses to regulatory questions on statistical issues relating to client regulatory submissions, interacting with and attending meetings with regulatory bodies as applicable, • Prepare statistical analysis plans (SAPs) and table, listing, and figure (TLF) mocks for any complexity of study, • Provide senior reviews of statistical documents, data, and outputs for studies of all complexities to ensure quality and integrity, • Execute a statistical analysis of any complexity as specified in a protocol or analysis plan, • Interpret and communicate results for complex statistical analyses and outputs, • Develop and/or review the statistical sections of a study protocol for studies of any complexity level, • Review statistical sections of a clinical study report to ensure accurate descriptions of statistical methods used and results of analyses, • Provide randomization materials including randomization schedules and treatment kit lists per Allucent SOPs and the sponsor-approved specifications, • Develop or review documents for integrated analyses (e.g. ISS/ISE), including integrated SAPs and statistical sections of integrated study reports, • Working knowledge of SAS® for production and validation of datasets and statistical outputs, • Write and review specifications for complex ADaM or analysis datasets · Annotate or review annotations of TLF mocks to assist programming efforts, • Working knowledge of CDISC standards, • Review CRF design to ensure it conforms with the study protocol and analysis needs, • Review data management documents as requested to ensure integrity of study data, • Lead highly complex projects by fulfilling the following responsibilities: communicate with the client and statistical team, set and achieve timelines and milestones, ensure proper execution of the study SAP, monitor programming efforts in collaboration with the lead programmer, and work with management to ensure adequate resourcing, • Function as the lead unblinded statistician for studies and manage unblinded tasks including implementation of interim analyses and participation in DMC/safety review meetings, • Accountable for leading biostatistics and programming activities for a program of studies of high complexity and/or of high value., • Identify high-risk or high-impact deliverables and assign appropriate oversight, • Lead and manage project budgets, support financial reporting for studies, identify of out-of-scope work and provide leadership in change order process, • Collaborate with and verify open communication with other functional areas and business units, • Provide biometrics leadership and coordination across client and other vendor functional areas, including clinical operations, pharmacovigilance, regulatory, and medical writing teams, • Represent Allucent at proposal bid defenses and/or marketing meetings with prospective clients, • Provide key input into project proposals and budgets, • Establish positive relationships with current and future clients, • Identify key accounts and maintain strong long-lasting relationships to win new and repeat business, • Monitor and assure client satisfaction on existing projects for biostatistics and statistical programming, • Contribute to BIOSC, BBU, and corporate marketing activities via blogs, webinars, white papers, and other publications and presentations, • Contribute to other areas of business and assignments as required To be successful you will possess: • Graduate degree (Master’s degree/local equivalent, or higher) in a relevant discipline including, but not limited to, statistics, mathematics, life science, epidemiology, or healthcare, • Must have strong experience in Bayesian designs specifically in oncology studies., • Minimum 15 years of relevant work experience, • Minimum 10 years of experience in drug development and/or clinical research, • Thorough knowledge of GxP, • Strong familiarity with relevant regulations and guidelines, • GDPR/HIPPA, CFR/CTR/CTD and applicable (local) regulatory requirements, • Working knowledge of computer systems, applications and operating systems, • Demonstration of critical thinking and analytic skills, • Broad knowledge of drug development, • Ability to simplify complex issues into understandable concepts, • Proficient with one or more sample size software packages, • Strong technical skills with proficiency in SAS and/or other statistical programming languages, • Strong written and verbal communication skills including good command of English language, • Collaborative and client-focused, • Ability to work in a fast-paced challenging environment of a growing company, • Administrative excellence, • Strong leadership skills, • Effective at problem solving, strategic thinking and conflict resolution, • Strong presentation and networking capabilities, • Excellent organizational, negotiating and financial skills, • Knowledge of SAS, • Proficiency with various computer applications such as Word, Excel, and PowerPoint, • Strong individual initiative, • Excellent attention to detail and commitment to quality, • Ability to establish and maintain effective working relationships with co-workers, managers, clients, and vendors, • Ability to effectively manage multiple tasks and projects, • Reputation as a leader with sustained performance and accomplishment Benefits of working at Allucent include: • Comprehensive benefits package per location, • Competitive salaries per location, • Departmental Study/Training Budget for furthering professional development, • Flexible Working hours (within reason), • Opportunity for remote/hybrid* working depending on location, • Leadership and mentoring opportunities, • Participation in our Buddy Program as a new or existing employee, • Internal growth opportunities and career progression, • Financially rewarding internal employee referral program, • Access to online soft-skills and technical training via GoodHabitz and internal platforms Disclaimers: *Our office-based work policy encourages a dynamic work environment, prescribing a minimum of 2 days in office per week for employees within reasonable distance from one of our _. “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI-Remote #LI-Hybrid #LI-TCW

The position requires a Master’s Degree in Physics, Quantitative Finance, Computer Science, or Mathematics or a related quantitative field or foreign equivalent, plus 2 years of experience as a Quantitative Researcher or Quantitative Developer, or a similar role working in equity derivatives. Scho

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Sr. Solutions Engineer on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 4+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Bachelor's degree in Management Information Systems, Information Technology, Information Science, Business, Computer Science, Mathematics, or related quantitative science field. Freedom Technology Solutions Group is seeking an. Information Systems Security Engineer.

Job Title: Nuclear Engineer (Naval Reactors Engineer) Category / Component: Officer • Active Overview Design, regulate, and oversee the Navy's nuclear propulsion program, including reactor design, fleet operations, and eventual defueling and decommissioning of nuclear powered ships and submarines from Naval Reactors Headquarters and associated Department of Energy laboratories and shipyards. Key Responsibilities Provide technical direction in areas such as reactor and fluid systems design, reactor physics, materials development, component design for steam generators, pumps, and valves, instrumentation and control for reactor and propulsion plants, testing and quality control, radiation shielding, and chemistry and radiological controls; review designs and analyses from laboratories, shipyards, and industry partners; coordinate with fleet units to ensure safe and reliable nuclear plant operation. What to Expect Assume significant technical responsibility early in your career as part of a lean headquarters staff; work primarily in an analytical and oversight role rather than operating plants at sea; balance long term engineering projects with time sensitive fleet and shipyard issues; frequent coordination with senior civilian engineers, naval officers, and technical teams; high expectations for attention to detail, judgment, and written and oral communication. Work Environment Work mainly at Naval Reactors Headquarters in the Washington, District of Columbia area with regular engagement with Department of Energy laboratories, nuclear training sites, shipyards, and nuclear powered ships and submarines; office based work that includes document reviews, technical meetings, inspections, and site visits rather than day to day shipboard watchstanding. Pathways, Training & Advancement Officer commissioning through programs such as Officer Candidate School or the Nuclear Propulsion Officer Candidate program followed by a structured technical qualification program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet support issues; progressive responsibility leading projects and becoming a subject matter expert, with opportunities for professional military education and advanced graduate study in technical fields. Entry through the Nuclear Propulsion Officer Candidate program for qualified college students and recent graduates, or selection via Officer Candidate School for those who already hold qualifying degrees; all applicants must meet Nuclear Propulsion Program academic and technical screening standards in addition to general officer commissioning requirements. Qualifications All Navy jobs require meeting general enlistment or commissioning standards, which typically include: Eligibility to serve in the United States Navy, which may involve United States citizenship or other legal residency and work status, depending on the program and current law and policy A high school diploma or equivalent for enlisted positions, and a bachelor's or qualifying professional degree for officer positions Meeting age limits that vary by program and are set in law and Navy policy. Some communities have more restrictive age ranges Meeting medical, vision, and dental standards, including body composition and physical fitness requirements, with some jobs requiring more demanding standards Meeting character and conduct standards, including background screening Achieving required test scores for your program, such as the Armed Services Vocational Aptitude Battery for enlisted roles or officer qualification tests for officer programs Eligibility for a security clearance when required for your rating or designator Additional qualifications can include specific skills, education, licensure, or experience that are unique to a job or community and will be reviewed with you by a recruiter. Additional qualifications for this job may include: Completion of a rigorous technical degree in engineering, physics, mathematics, or a closely related field that includes strong backgrounds in calculus and physics; outstanding academic record, particularly in technical coursework; United States citizenship and eligibility for a high level security clearance; strong technical aptitude and comfort with detailed analytical work. Education Education benefits are available through standard Navy programs such as Tuition Assistance, the Post-9/11 GI Bill, ACE-recommended college credit for Navy training, Navy COOL-funded certifications, USMAP apprenticeships, and other Navy College Program opportunities. Specific options depend on the Sailor's status, training, and current Navy policy. Pay, Benefits & Service Pay, benefits, and service commitments follow standard Navy Active and/or Reserve policies for this type of role, including basic pay, allowances when eligible, health coverage, and retirement options. Exact entitlements, special pays, and service obligations depend on program, component, years of service, and current law and Navy guidance. Incentives Incentives such as bonuses, special pays, and loan repayment may be available at times for specific ratings or communities, but they change frequently and cannot be guaranteed. Applicants must confirm current incentives and eligibility with an official Navy recruiter or authoritative Navy source. Notes and Disclaimers This description is a general overview of typical duties, training, and opportunities in this community. It does not replace official Navy instructions, policies, or contracts and does not guarantee specific assignments, training, incentives, or outcomes. Actual opportunities depend on Navy needs, individual performance, screening results, and current law and policy.

REQUIREMENT: PeopleSoft Technical Support Engineer - Consultant Columbia, South Carolina (Remote)Need Overall 10+Years of experience3 References from the recent projects are must.Required Skills • 6+ months Higher Education experience, • 5+ years PeopleSoft technical/functional experience, • Bachelor’s degree in a field of study related to computing, mathematics, or business., • 5+ years of experience with the PeopleSoft HR suite of applications and the PeopleTools suite of tools., • Extensive background working as a PeopleSoft programmer or developer. REQUIRED SKILLS (RANK IN ORDER OF IMPORTANCE): • PeopleTools: App Designer - PeopleCode, Application Engine; SQR; Data Mover; Security setup (PeopleSoft Test Framework a plus), • Oracle SQL, • PeopleSoft reporting tools – Query, BI Publisher, • PeopleSoft HR experience with HR, Payroll, Talent Acquisition, Employee Self-Service Preferred Skills • Past working experience at Clemson UniversityIf you are interested share your updated resume with contact number to _ Zirlen Technologies Inc, A Leading IT Services company, offering a wide array of solutions customized for a range of key verticals and horizontals. From strategy consulting right through to implementing IT solutions for customers, Zirlen addresses the entire IT space. As a diverse end-to-end IT solutions provider, Zirlen offers a range of expertise aimed at helping customers re-engineer and re-invent their businesses to compete successfully in an ever-changing marketplace. Zirlen is a global management consulting, technology services and outsourcing company. Combining unparalleled experience, comprehensive capabilities across all industries and business functions, and extensive research on the world’s most successful companies, Zirlen collaborates with clients to help them become high-performance businesses and governments.

About Toptal Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. With $200+ million in annual revenue and team members based around the globe, Toptal is the _. We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. We see no borders, move at a fast pace, and are never afraid to break the mold. Job Summary: Our Product team builds and scales Toptal’s platform and products, working closely with our Operations, Marketing, and Engineering teams to support the organization’s growth. We embrace a data-focused approach to ensure each initiative on our product roadmap delivers meaningful impact for both our business and users. Our innovative technology platform enables us to deliver on-demand talent without losing a human touch. The Product team plays a key role in shaping and scaling platform capabilities, including data, automation, and AI-enabled systems that improve how Toptal operates and delivers value. We are seeking a Senior Director of Product Management to lead a highly strategic, cross-cutting product area focused on growth, platform strategy, and portfolio integration. This role is ideal for a customer-centric Product Leader who thrives in ambiguity, enjoys defining strategy where none yet exists, and wants to own problems with real business impact. In this role, you will guide a team of Product Managers while also personally owning the product and business strategy that connects Toptal’s core platform, new business initiatives, and acquired products into cohesive, scalable offerings. You will serve as a key decision-maker on the Product Management Leadership team, reporting to the SVP of Product Management, and partnering closely with executives across Product, Engineering, Marketing, Operations, and M&A. This is a remote position. Resumes and communication must be submitted in English. Responsibilities: The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills. · Own and evolve the end-to-end product strategy and roadmap for a portfolio of internal and customer-facing products, with an emphasis on growth, platform leverage, and cross-product synergy.· Define how Toptal’s products, tools, marketplaces, and services come together into cohesive customer experiences for both talent and clients.· Translate high-level vision into clear strategic frameworks, roadmaps, and prioritization criteria that teams can execute against.· Identify and validate opportunities for platform capabilities that can be reused across business lines, acquisitions, and partners.· Lead strategy for upsell, cross-sell, and packaging across multiple offerings and customer segments.· Partner closely with Growth Marketing to align experimentation, funnel optimization, and long-term product strategy.· Define segmentation-driven approaches for determining what to offer, when to offer it, and how.· Partner closely with M&A to develop and continuously improve repeatable product integration frameworks that support acquisition strategy and accelerate value creation.· Provide thought leadership and clear communication (written and verbal) to Product, Engineering, and executive stakeholders.· Track progress, assess risks, and communicate tradeoffs, mitigation plans, and outcomes.· Guide prioritization and sequencing of initiatives as the team and portfolio scale.· Lead, coach, and grow a team of Product Managers, helping them do the best work of their careers.· Help shape the Product Management function and culture, including how teams collaborate, plan, and measure success.· Work cross-functionally with Operations, Legal, Marketing, and Engineering to ensure alignment, buy-in, and execution.· Establish objectives and initiatives, recommend team structure, and scale the organization thoughtfully as strategy solidifies. In the first week, expect to: · Work to get up to speed with how the organization runs, including how our objectives, RACIs, and other operational frameworks work.· Begin learning Toptal’s platform architecture, internal tooling, and current initiatives and capabilities. In the first month, expect to: · Become acquainted with your product area, the product goals, and those you will partner with.· Work cross-functionally and with Product Managers to refine your product’s strategy, organize and prioritize your high-level roadmap and backlog.· Start collaborating closely with your Product team. In the first three months, expect to: · Have a very strong understanding of how the Product Management function and all related external functions are working together.· Take full ownership of the technology products domain, its strategy, and roadmap.· Garner the trust of your peers and the individuals with whom you’re working most closely. In the first six months, expect to: · Exemplify the ability to inspire and mentor the teams you’re working with.· Uplevel the team’s ability to brainstorm, collaborate, and execute materially.· Have chartered a clear path for scaling the team and the impact the Product organization can deliver. In the first year, expect to: · Deliver on your roadmap priorities and promises.· Ensure your team has an incredible record of building impactful products in a timely and elegant fashion.· Work cross-functionally to scale your team to meet the growing needs of our business and our users. Qualifications and Job Requirements: · Bachelor’s degree is required, preferably in a technical discipline (Computer Science, Information Systems, Mathematics, or Economics).· At least 10 years of proven software Product Management experience.· At least 3 years of experience leading other Product Managers.· Prior experience working as a Software Engineer is a strong plus.· Experience leading AI-enabled products, with a focus on delivering measurable business outcomes.· Comfortable working with SQL or spreadsheets to analyze data, as well as conducting research with internal and external users.· Ability to creatively craft solutions through data and a user-centric approach.· Be meticulous and have a high bar for quality when writing user stories, brainstorming technical approaches, and testing a feature before it is released.· Be humble, willing to learn, and do whatever is needed to help us accomplish our goals.· Outstanding written and verbal communication skills.· Experience using agile development methodologies with globally distributed teams and the ability to keep up with a fast-paced and global company.· Ability to work in a fast-paced, rapidly growing company and handle a wide variety of challenges, deadlines, and a diverse array of contacts.· You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do. Essential Job Functions · Regularly and reliably attend scheduled virtual team meetings on camera.· Work independently with minimal supervision.· Use all required digital collaboration tools.· Prioritize and self-manage workflows and deadlines. US FLSA Classification: Full-Time/Exempt For candidates who meet the qualifications and job requirements listed above, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Applications are accepted on an ongoing basis. In the US, Toptal’s benefit offerings include participation in a 401(k) retirement plan; medical, dental, and vision health insurance plans; basic life insurance coverage and short-term and long-term disability coverage; access to flexible spending, dependent care, and health savings accounts; access to telehealth virtual doctors; an employee assistance program; and flexible paid time off.