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Job Description & How to Apply Below
Shape FX risk analytics in Toronto at Stripe using Python, SQL, statistical modeling, and production-grade quantitative systems. This is a full-time opportunity.
As senior quantitative lead for FX within Treasury Finance Data Science, you will build the foundation for measuring, forecasting, and hedging exposure. You will work with Treasury, FX, Finance, and Engineering on rigorous models, decision tools, and production systems. The work covers global currencies, liquidity, funding, counter party risk, and foreign exchange.
Key Responsibilities:- Build FX exposure aggregation, VaR, stress testing, and scenario analysis
- Forecast FX exposures and multi-currency cash flows
- Co-design hedge optimization and decision frameworks
- Develop ML and statistical systems for trading and risk
- Own production workflows, monitoring, alerting, and incident response
- 8+ years with BS/BA, 6+ with MS/MA, or 3+ with PhD
- Quantitative finance experience involving FX, rates, or market risk
- Statistics, probability, time-series, VaR, and hedging knowledge
- Production-quality Python and SQL proficiency
- Experience moving models from research into production
Apply quantitative research, FX risk expertise, Python, and SQL to decision-critical Treasury systems at Stripe in Toronto.
Position Requirements
10+ Years
work experience
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