- Company: Stripe
- Location: Toronto
- Job type: Full-time
About the role
Stripe is a financial infrastructure platform used by millions of companies to accept payments and grow revenue. The Treasury Finance Data Science team builds the models and risk frameworks that manage liquidity, funding, and foreign exchange at a global scale. As the senior quantitative lead for FX, you will partner with the FX team, Treasury, and Engineering to develop the quantitative foundation for measuring, forecasting, and hedging FX exposure. This is a hands-on role where you will design methodologies, write code, and ship systems into production.
Responsibilities
- Partner with the FX team to build and evolve risk measurement tools, including exposure aggregation, VaR, Expected Shortfall, and stress testing.
- Develop forecasting models for FX exposures and multi-currency cash flows to inform hedge sizing and timing.
- Co-design hedge optimization frameworks that balance cost, residual risk, and liquidity constraints.
- Build and maintain machine learning and statistical systems for trading and risk, taking them from prototype to production.
- Own production systems that generate decision-critical FX outputs, ensuring reliability and monitoring.
- Produce clear analyses and reporting for Treasury and Finance leadership, including MBRs and QBRs.
- Use AI tools to accelerate modeling and analysis while maintaining rigor and auditability.
- Mentor other data scientists and raise the technical bar for FX quantitative work.
Requirements
- BS/BA with 8+ years, MS/MA with 6+ years, or PhD with 3+ years of experience in quantitative finance, risk modeling, or data science.
- Hands-on quantitative experience at a bank, asset manager, hedge fund, or similar institution with direct exposure to FX, rates, or market risk.
- Strong foundation in statistics, probability, time-series modeling, and risk measures (VaR, Expected Shortfall, stress testing).
- Working knowledge of hedging instruments such as forwards, swaps, and options.
- Proficiency in Python and SQL with the ability to write production-quality code.
- Experience taking models or analytical systems from research into production.
- Ability to communicate complex analyses clearly to senior non-technical stakeholders.
- Experience using AI tools to speed up modeling and coding.
Pay and benefits
Specific salary details and benefits are not listed in the job description. Please refer to the official application page for complete compensation information.
How to apply
Apply directly on Stripe’s own careers website. Omadaily never charges job seekers.
