Quantitative Research Intern Jobs

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 Single Family Division is currently seeking an analytical and curious model developer who has strong business knowledge in credit risk, preferably collateral. This Quantitative Analytics Tech Lead position will include collateral model development, analysis and support potentially including some ad hoc analysis and data work in addition to developing new models and methods of evaluating collateral. Our Impact: We are responsible for developing Single Family collateral models that streamline the loan origination process while improving our credit risk exposure. Your Impact: Developing analytical methods and models that assess the collateral value and risk of Single Family properties. Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable Providing modeling and analytical support to a line of business or product area Working under limited direction, independently determining and developing approach to solutions. Qualifications: PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience. Business experience will be weighted more than academic degrees. Demonstrated expertise in credit risk modeling (preferable collateral modeling), with experience working with model users to understand the model and develop new modeling and analytics methods and ideas. Proficiency in o

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Quantitative Analytics and Modeling Consultant Senior Validator within PNC's Model Risk Management organization, you can be based in Pittsburgh, PA / New York City / Tysons Corner, VA. We are seeking a Senior Validator to join PNC’s Model Risk Management team within Independent Risk Management. As a senior validator, you will perform rigorous independent reviews of PNC’s Capital Markets models, including derivatives pricing models, Value-at-Risk (VaR) models, and counterparty credit risk models, such as Potential Future Exposure (PFE), Credit Valuation Adjustment (CVA), and Funding Valuation Adjustment (FVA), and related interest rate and term structure models used in pricing and risk measurement. Key Responsibilities: 1. Independent Model Review: Perform qualitative and quantitative assessments of all aspects of models including data quality and integrity, theoretical assumptions and methodologies, and performance testing; Specific respons

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: The Quantitative Analytics Director is a strategic analytics leader responsible for transforming complex data into actionable business insights for senior executives and key stakeholders. This role emphasizes insight generation, decision support, and business impact while requiring strong fluency in quantitative methods, large-scale data analysis, and advanced analytical techniques. The Director will lead the development and implementation of analytical workflows that accelerate insight creation, improve analytical efficiency, and enhance decision-making. A critical responsibility of the role is ensuring these AI capabilities are developed, governed, and deployed in a controlled, transparent, and compliant manner. This position leads a team of analysts and data scientists and serves as a key partner across business, risk, technology, and analytics functions. Our Impact: Our team plays a critical role in helping Freddie Mac understand, anticipate, and manage credit risk across a dynamic mortgage market. By bringing together deep insights on how credit risk intersects with other aspects of our business, we provide timely insights that inform business decisions, strengthens governance, and supports the company’s mission. This is a role with opportunities to shape frameworks, influence cross-divisional outcomes, and engage with senior leaders on issues that matter to Credit Risk Management (CRM) as Freddie Mac balances credit risk and other scorecard items. Y

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: <

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P . Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX, and other top-tier investors. Role Overview We're hiring a quantitative trader/developer for Capital Markets which covers trading, hedging, and market-making strategies across our stablecoin and FX business. You'll have the opportunity to work directly with the trading desk on strategies with real, immediate P&L impact, with daily 1:1 mentorship from the experienced traders and engineers leading Capital Markets. You're evaluated on the strategies you ship and the P&L they generate. You own a thread from idea to live trading, and the person you're building it with is a trader. We're specifically looking for someone with a trading background: a prop trading firm, a crypto market maker, or a trading platform where you've both written the code and owned the trading decision it produced. Key Responsibilities: Trading strategy development. Develop, maintain, and improve trading and hedging strategies across our stablecoin and FX business, from idea to live execution, with full ownership of the outcome. Production trading systems and live operations. Own the reliability, observability, and operational performance of our live trading environment. Monitor systems in real time, act as primary responder to production issues, and work with the desk to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability. Production tooling and operational safety. Build and improve internal tools, dashboards, alerts, and automation that

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 the Capital Team The Capital team manages the financial foundation that supports Affirm’s lending and innovation. We lead the funding, liquidity, and risk management strategy across capital markets, treasury, deal structuring, analytics, and bank partnerships. The team secures efficient funding while supporting sustainable business growth. We balance cost, flexibility, and risk to ensure Affirm’s financial resilience through all economic cycles. By optimizing capital structure and managing liquidity, we help build a scalable and resilient financial platform. We’re looking for a smart, driven individual to join our Quantitative Markets team. The team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have experience in structuring asset-backed transactions, working with rating agencies, and building quantitative models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills. What You’ll Do Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions Develop and enhance capital structuring and pricing models tailored to Affirm’s consumer loan portfolio to enable efficient deal execution Build quantitative models to analyze and predict the performance of Affirm’s consumer loans Provide insights on capital markets deals to cross-functional teams for more optimal and efficient funding strategy and merchant pricing Partner cross-functionally with our Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product and Engineering teams to evaluate funding, product

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 the Capital Team The Capital team manages the financial foundation that supports Affirm’s lending and innovation. We lead the funding, liquidity, and risk management strategy across capital markets, treasury, deal structuring, analytics, and bank partnerships. The team secures efficient funding while supporting sustainable business growth. We balance cost, flexibility, and risk to ensure Affirm’s financial resilience through all economic cycles. By optimizing capital structure and managing liquidity, we help build a scalable and resilient financial platform. We’re looking for a smart, driven individual to join our Quantitative Markets team. The team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have experience in structuring asset-backed transactions, working with rating agencies, and building quantitative models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills. What You’ll Do Work closely with the Capital Markets team to evaluate, structure and price consumer asset-backed transactions Develop and enhance capital structuring and pricing models tailored to Affirm’s consumer loan portfolio to enable efficient deal execution Build quantitative models to analyze and predict the performance of Affirm’s consumer loans Provide insights on capital markets deals to cross-functional teams for more optimal and efficient funding strategy and merchant pricing Partner cross-functionally with our Capital Markets, Treasury, Merchant Pricing, Credit, Commercial, Product and Engineering teams to evaluate funding, product

Quantitative Insurance Solutions Analyst — Poznan, Poland. Apply via Workday.

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring Delta1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (Delta1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset:

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,

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 currently seeking a Quantitative Analytics Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions. The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac’s Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives . Our Impact: Key focus of this job is the design, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling. These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels. Y our Impact: Design, code and maintain consistent counterparty credit risk models (PD/LGD/EAD). These models must incorporate best practices while simultaneously accounting for the

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. We’re looking for an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse. What You'll Do Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability. Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time. Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust. Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests. Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function. Support the model validation requirements for Bank owned models. What We Look For 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics Deep understanding of the consumer credit lifecycle and/or fraud detection. Technical familiarity with loss forecasting/fraud prediction, a

About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors. About the Role As a Quantitative Intelligence Analyst , you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products. This role is based in office (hybrid, 3 days/week). Relocation support is available In this role, you will: Discover and define new quantitative risk signals where no established metrics exist, using subject matter exp

About BlockTech As a Quantitative Trader on our Singapore trading floor, you’ll own positions and PnL end-to-end, from interpreting live market flow and liquidity through tuning and intervening in our automated systems, all the way to shaping the next generation of execution logic and trading tools. You’ll sit shoulder-to-shoulder with Quantitative Researchers, Quantitative Developers, and Software Engineers, and your decisions will directly drive how we trade across venues. The role Managing and monitoring D1 positions across multiple venues, owning the PnL and risk that comes with them Reading live market flow, liquidity conditions, and market events, and translating that read into concrete trading and execution decisions Tuning and parameterising our automated and semi-automated systems, and knowing when to step in to manage risk or capture an opportunity Improving execution quality and market-making performance through data-driven analysis of strategy behaviour Designing and specifying the trading tools, dashboards, and analytics that the desk relies on to make decisions Collaborating closely with researchers, developers, and engineers to sharpen models, infrastructure, and execution logic, and shaping the roadmap for new trading initiatives What we’re looking for 3+ years of experience as a Quantitative Trader and/or Quantitative Researcher in a professional trading environment, with demonstrated PnL responsibility on linear (D1) products across multiple venues Hands-on experience operating automated and semi-automated trading systems under live conditions: monitoring, tuning, and intervening when it matters Strong analytical instincts: you can take a messy dataset of fills and quotes and turn it into a concrete execution improvement A deep, intuitive grasp of market microstructure and the ability to explain why a strategy works, not just that it does Proficiency in Python for analysis, tooling, and interaction with trading systems An ownership mindset: being p

OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. The role doesn't open for fresh grad candidates and only accept candidates with full time working experience. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity What You’ll Be Doing Manage systematic trading strategies and manual trade execution. Follow daily market sentiment, continuous monitor risk exposure and P&L. Conduct post trade analysis of trading strategy's performance. Work with developers to build and drive the continual improvement of world-class risk management and trading tools. What We Look For In You Degree in a relevant area (Mathematics/Physics/Engineering/Computer Science/Finance) from a top university. Required skill in flow business Required skill in systematic trading in crypto or traditional markets Experience in cryptocurrency products is a plus. Ability to work in a fast-paced environment and make rational decisions under pressure. High attention to detail and excellent communication skills Perks & Benefits Competitive total co