What you'll doStripe supports global commerce across 135+ currencies including digital assets.As a result, Stripe needs to build and maintain platform systems capable of pricing, estimating and hedging the resulting FX exposures. Grounded in an understanding of FX market conventions and dynamics, you will partner with Engineering, Data Science, Product, and Finance to maintain operational rigor today while shaping long-term pricing and hedging strategies.
Responsibilities- Monitor FX risks, execute trades , reconcile position, and attribute costs
- Build automated risk monitors, alerting tools, and analytical models using SQL and quantitative coding to enable observability and minimize operational toil
- Collaborate with Product and Engineering to guide the design and scaling of core FX infrastructure, trade execution flows, and liquidity provider integrations
- Develop risk-based FX pricing methodologies across products and currency pairs, factoring in volatility, transaction costs, netting efficiency, and embedded optionality like rate guarantees.
- Design hedging strategies to mitigate FX risks on financial statements while maintaining robust policies, controls, and operational runbooks
Who you areWe'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.
Minimum requirements- 5+ years in FX, market risk, trading, quantitative research, or treasury operations, with working knowledge of FX market structure and instruments
- Proficiency in Python and SQL to build analytics and tools, backed by a strong foundation in statistics, time series, and risk measurement
- Exceptional attention to detail and a proven ability to turn complex, imperfect datasets into clear insights
- Practical experience using AI tools to streamline analysis and automation, paired with a critical eye for model validation and verification
- Strong cross-functional collaboration skills, with the ability to turn complex data into clear narratives and escalate issues concisely under time pressure
- Bachelor's degree
Preferred qualifications- Degree in Economics, Finance, Statistics, Engineering, Computer Science, Math, or Physics
- Experience with automated trading and familiarity with option theory and greeks
- Experience building data pipelines and systems working alongside technical teams
