Quantitative Finance Researcher Jobs

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. What You'll Do: Perform independent challenges of financial and analytics quantitative models — including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics — through rigorous validation and ongoing monitoring Lead end-to-end validation engagements on high-complexity, high-criticality models Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance Partner cross-functionally to implement and maintain the company's MRM framework Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and exami

Who we are Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. Stripe Apps connect Stripe with the tools businesses already use, bringing relevant data and workflows into the Stripe Dashboard and third-party systems. The Strategic Apps team owns a portfolio of integrations with enterprise systems that are critical to our users’ workflows—from quote-to-cash and support to reporting. We help users embed Stripe more deeply into the way they run their businesses. What you’ll do We’re looking for a Staff Product Manager to set the strategy and lead execution for Strategic Apps. You will own a portfolio of existing and new integrations, including those with systems such as Salesforce, and determine where Stripe should invest based on user needs, Stripe’s product and industry priorities, and market signals. You will work across Stripe and directly with external partners to deliver reliable, high-quality integrations that drive adoption and business outcomes. Own the vision, product strategy, roadmap, and success metrics for a portfolio of strategic apps, making and communicating clear trade-offs amid significant ambiguity. Identify, prioritize, and validate the highest-value user problems and integration opportunities through direct user research, ecosystem analysis, and quantitative evidence. Lead cross-functional teams across Engineering, Design, Data Science, Finance, Sales, User Support, Marketing, Partner Management, and other product teams to deliver and evolve integrations end to end. Par

JOB SUMMARY As a member of our Strategy & Business Operations team, you will lead planning and delivery of high priority projects. Projects include accelerating new offerings, identifying and fostering new partnerships, streamlining our operating rhythm, and fostering cross-functional collaboration. The team partners with business and product leaders to drive B-Stock’s strategy, identify opportunities for growth and investment, and drive innovation and best-in-class execution across teams. You'll also raise how the team works by applying AI to accelerate research, analysis, and synthesis, building toward more automated approaches to recurring strategy and operations work over time. This person would report directly to the Vice President of Strategy & Business Operations. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Drive end-to-end strategic projects to define and accelerate the company’s top growth priorities Lead B-Stock’s foray into new segments, offerings, or partnerships leveraging the depth of B-Stock’s data, customer relationships, and network Develop strategic frameworks to identify market growth opportunities for B-Stock Help business leaders and executives make smart decisions and drive them to implementation by bringing data, analysis, and industry expertise to bear. Identify and implement AI-enabled workflows and automations within Strategy & Business Operations to compress analysis cycles and scale the team's output Design and run the operating cadence — planning cycles, business reviews, and cross-functional execution — turning strategy into delivered outcomes, not just recommendations. MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES 5+ years in a strategy, consulting, finance, or business-operations role where you personally drove problems from hypothesis to delivered result You're highly analytical and quantitatively fluent — you bring rigor to decisions and structure ambiguous problems, model in spreadshe

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Pricing Strategy team is part of the Stripe Product Marketing organization and is responsible for how Stripe prices its products. Our work is highly cross-functional and we partner closely with Product, Finance, and Sales to tackle some of the most visible and commercially impactful decisions at Stripe. We're looking for someone who blends financial analysis, strategic thinking, and stakeholder engagement to help us price new products and evaluate their pricing performance as the products evolve. What you'll do This role sits at the center of the Stripe pricing architecture, working horizontally across our product portfolio to shape how Stripe packages and prices its suite of products. Rather than going deep on a single product, you'll develop the frameworks, methodologies, and strategic recommendations that govern how our products work together commercially. Your work will be highly visible to Stripe leadership and directly shape how millions of businesses experience the value of Stripe. Responsibilities Develop the frameworks, methodologies, and strategies that govern how Stripe products are priced and packaged together commercially, aligned to our long-term commercial goals Synthesize the value of the Stripe product portfolio through qualitative research, competitive benchmarking, and willingness-to-pay analysis to inform cross-product packaging decisions Build financial models to evaluate the impact of pricing changes on revenu

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is in a critical phase of growth. This role is responsible for helping lead our domestic marketing media capital allocation engine, and launching it internationally. You’ll own channels like Linear TV, YouTube, and Out-of-Home, and work alongside an experienced marketing team with the creative, analytical, and technical resources to deliver on ambitious growth goals. This is a key role in which you’ll be uniquely positioned to shape Ramp’s global growth by scaling some of the company’s fastest growing marketing media channels. What You'll Do Develop the qualitative research and strategic frameworks that govern how we allocate brand marketing budget across channels and markets. Own marketing media channels end-to-end, from investment strategy and budget pacing to audience targeting and measurement. Design measurement approaches that quantify the effectiveness of every strategy, placement, and buy. Work with a world-class brand marketing team to identify, pressure-test and execute on campaign themes and creative concepts that reson

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you curious and analytical? Do you thrive on working in a team environment? Are you looking for an inclusive company culture? Freddie Mac’s Single-Family Credit Analytics, Reporting and Decision Strategy group needs creative, forward-thinking individuals like you! We want to hire individuals who seek out complex business problems and develop viable solutions. The Quantitative Analytics Professional position is responsible for ensuring the reasonableness and consistency of statistical models, analytics and methodologies used in decision making in the Single Family guarantee business. Our Impact: Our team serves as the business user for multiple very high- and high-risk models. Our goal is to leverage all available models and tools to facilitate and optimize credit risk management and decision strategies. Our team is responsible for forecasting SF credit losses and enhancing company decision-making with respect to loan acquisition. Your Impact: SF (Single Family) model enhancement - oversight, documentation, and testing of new modeling frameworks Model tracking reports - reviewing and ensuring reports to SF Acquisition division are concise, complete, and transparent Mortgage modeling expertise - understanding default and prepayment modeling frameworks and providing insights Data quality - understanding data relationships and ensuring accuracy Testing and governance - assisting with UAT and model governance processes Qualifications: <

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Investments & Capital Markets Division is seeking a Quantitative Analytics Senior to develop, implement, monitor, and execute quantitative models that support counterparty credit risk management, fixed-income derivatives valuation, and related business and risk management decisions. The candidate should be self-motivated, has a strong quantitative and computational background, and communicates effectively with technical and business stakeholders. As part of the Models & Analytics team, this role will primarily support Freddie Mac’s Counterparty Credit Risk Management and Asset-Liability Management functions, with responsibilities spanning model development, implementation, monitoring, data processes, documentation, and business user support. Our Impact: This role focuses on the design, development, implementation, and monitoring of quantitative models and analytics that support counterparty credit risk, exposure measurement, derivatives valuation, and related risk management activities. The models and analytics developed by the team provide key inputs into counterparty credit risk management, portfolio management, business reporting, and risk-informed decision-making across the division. Your Impact: • Develop, implement, and maintain quantitative models primarily for counterparty credit risk measurement, with additional coverage of interest rates, derivatives valuation, and valuation components related to mortgage products. • Implement models and analytics using programming languages and tools such as MATLAB,

The exchange team develops and maintain a cutting-edge trading platform. With a global presence across APAC, EMEA and North America, the team has since grown with the goal to provide a seamless and secure trading experience for our clients. We are looking for a quantitative Risk Manager to join our global exchange team, with a primary focus on the models: you will own the design, calibration, and validation of the margin, pricing, and liquidation frameworks that our FCM and clearing businesses run on. Alongside that, you will take part in the daily risk monitoring, escalation, and reporting that the whole team carries. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics. Responsibilities Own margin methodology across the group, including SPAN, VaR, and portfolio-margining approaches, and benchmark our models against those used by the clearing houses and exchanges we face. Develop, implement, and validate derivatives pricing models for new and existing products across various asset classes (e.g., equities, commodities, futures, perpetuals, options). Backtest margin coverage and document model performance, assumptions, and limitations to a standard that withstands regulatory and audit review. Build and maintain the data pipelines and automated reporting behind the risk models, working in SQL, Python, and relational databases. Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration, and liquidation. Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility. Perform scenario analysis and stress testi

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. We are accepting applications for this position until 10/16/2026 Position Overview: At Freddie Mac, you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation. Our internship and graduate programs provide opportunities to tackle complex challenges, contribute to strategic initiatives, and build valuable relationships with industry professionals. As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM), you will apply advanced analytical, technical, and quantitative skills to support risk management activities at one of the nation's largest financial institutions. You will gain hands-on experience working on real-world projects, collaborating across teams, and leveraging emerging technologies – including artificial intelligence and automation—to enhance risk management practices and business outcomes. Our Impact: Enterprise Risk Management (ERM) helps build and maintain a strong, effective, and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a culture of accountability, innovation, and sound risk management. Our quantitative teams leverage advanced analytics, data science, modeling, automation, and emerging technologies to support enterprise-wide decision-making and risk oversight. As AI and automation continue to transform the financial services industry, our teams p

We are looking for a quantitative Risk Manager to join our global exchange team, with a primary focus on the models: you will own the design, calibration, and validation of the margin, pricing, and liquidation frameworks that our FCM and clearing businesses run on. Alongside that, you will take part in the daily risk monitoring, escalation, and reporting that the whole team carries. You will be contributing to the building of a fast-growth trading platform with innovative, multi-asset products bridging traditional finance (TradFi) and digital markets. For all roles, we look for people who are passionate about financial market innovation, equipped with energy, act as owners, and have exemplary work ethics. Responsibilities Own margin methodology across the group, including SPAN, VaR, and portfolio-margining approaches, and benchmark our models against those used by the clearing houses and exchanges we face. Develop, implement, and validate derivatives pricing models for new and existing products across various asset classes (e.g., equities, commodities, futures, perpetuals, options). Backtest margin coverage and document model performance, assumptions, and limitations to a standard that withstands regulatory and audit review. Build and maintain the data pipelines and automated reporting behind the risk models, working in SQL, Python, and relational databases. Monitor and analyze real-time and historical portfolio risk, including exposure, leverage, margin utilization, concentration, and liquidation. Design optimal automated liquidation logic and algorithms to balance market risk with market impact during extreme volatility. Perform scenario analysis and stress testing across a range of market conditions. Provide risk input into product onboarding, listing reviews, and regular risk parameter reviews: haircuts, margin levels, liquidation thresholds, index pricing, funding rates, and position limi

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Single-Family Data Analyst At Freddie Mac, you will do important work to build a better housing finance system, and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division within Freddie Mac is searching for creative individuals to join our organization. This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity, strong communication skills, and an eagerness to learn how emerging technologies, including AI-enabled tools, can enhance business outcomes. Our Single-Family College Analyst Cohort program is crafted to ease the transition of college into the workforce by providing skills training and mentorship programs, as well as in-class learning opportunities with senior leadership. Our Impact: Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. We provide data governance capabilities that help teams find, understand, and use data effectively across product, project, and delivery efforts. We support credit risk strategy, policy implementation, performance monitoring, and loan lifecycle analysis through data-driven insights. Your Impact: Document well written User Stories based on communication, discus

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you. What You'll Do: Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain. Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management. Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for a sharp, driven quantitative professional to join our dynamic Model Risk Management (MRM) team. In this role, you will oversee the underwriting and credit risk validation sector - the most critical pillar of Affirm’s MRM framework. This is a unique position designed for a seasoned technical leader who can build, mentor, and manage a high-performing team while remaining deeply hands-on, personally executing validations of our most complex machine learning models. You'll collaborate across the company to shape a best-in-class risk framework, ensuring our models are robust, reliable, and ready for the future. If you're passionate about the intersection of finance, credit risk, and data science, this role is for you. What You'll Do: Sector Leadership & Team Management: Oversee the underwriting and credit risk validation sector. Lead, mentor, and manage a team of talented quantitative professionals while setting the strategic direction for this critical risk domain. Hands-On Model Validation: Execute rigorous, independent validations of sophisticated machine learning models across underwriting and credit risk management. Technical Review: Evaluate conceptual soundness, data integrity, and performance stability through comprehensive testing, in-depth reviews, and continuous

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division within Freddie Mac is seeking curious, motivated college students for a summer internship. Interns will gain hands-on experience supporting data analytics, reporting, business processes, and risk management activities while building skills through mentorship, training, and collaboration. This opportunity is ideal for college juniors interested in data analytics, statistical analysis, quantitative problem solving, and emerging technologies, including AI-enabled tools. Our Impact: Single-Family uses data analysis, reporting, and risk management to support business decisions and deliver solutions for customers. We optimize, visualize, and govern data across the data lifecycle while modernizing the Single-Family data ecosystem. We leverage statistical analysis, quantitative modeling, structured rules, and emerging technologies to improve operational effectiveness. Your Impact: Assist product owners, team members, and business partners with gathering requirements, documenting user stories, and clarifying project scope. Support day-to-day operations and projects through data analysis, impact analysis, user acceptance testing, reporting, and other business or technical support activities. Coll

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: Join Ripple Labs Inc. as an Analyst Trading and Markets in Miami, FL. You will be part of an ambitious team working to flawlessly develop world-class financial solutions. You will help invent the future of finance through collaboration and determination. WHAT YOU’LL DO: Assist in pricing, quoting, and accomplishing trades across digital asset and crypto/fiat pairs Support sales campaigns by managing client calls and converting relationships into trading flow Monitor algorithmic execution and market-making activity, identifying and addressing anomalies WHAT YOU'LL BRING: 1–3 years of experience on an eFX trading desk, quantitative market-making desk, crypto OTC desk, or FIC structuring team handling RFQs Demonstrated proficiency in Python (or C++, SQL, Arrow) for quantitative data processing, parsing tick data/WebSockets, or building trading and risk tools Familiarity with FIX protocol, REST/WebSocket APIs, electronic order types, and automated spread-setting logic Bachelor’s or Master’s degree in Computer Science, Quantitative Finance, Financial Engineering, Mathematics, Economics, or a related technical discipline Familiarity with algorithmic trading and market-making strategies Strong communication skills with a focus on operational rigor and collaboration For positions that will be based in Miami, the annual salary range for this