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You will own the end‑to‑end FX risk measurement and forecasting systems, designing methodology, writing production‑grade Python/SQL code, and shipping models and decision tools into production while maintaining reliability, monitoring, and incident response.
The team seeks a senior quantitative professional with 6‑8+ years of experience in FX or market risk at a financial institution, strong statistics and time‑series skills, production‑level Python/SQL expertise, and a track record of moving models from research to production.
Accurate FX exposure measurement, forecasting, and hedging is critical to Stripe’s global treasury, influencing liquidity, funding, and profit‑and‑loss volatility for a business that moves funds in 135+ currencies daily.
This role fits a seasoned quant who enjoys building and operationalizing rigorous models, collaborating cross‑functionally with treasury, finance, and engineering, and driving impact through clear, decision‑ready insights.
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.
Data Science at Stripe is a vibrant community where data scientists and data analysts learn and grow together. The Treasury Finance Data Science team builds the models, risk frameworks, and decision tools behind how Stripe manages money at global scale: liquidity, funding, counterparty risk, and foreign exchange.
Stripe moves funds across 135+ currencies every day. That creates FX exposure from merchant flows, multi-currency balances, and entity funding. In this role, you'll be a thought partner and builder alongside Stripe's FX team. Together you'll develop the quantitative foundation for how Stripe measures, forecasts, and hedges FX exposure.
You'll be the senior quantitative lead for FX within Treasury Finance Data Science. You'll co-build with Treasury, the FX hedging team, Finance, and Engineering: shaping the research agenda, turning ideas into rigorous models, and building the systems that put those models to work. Data Science owns these systems. They produce the decision-critical outputs and analyses that the FX team and Treasury leadership rely on. This is a hands-on role. You'll design the methodology, write the code, and ship it into production.
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
