FX Trading & Risk Management

Joinleyla; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Stripe is seeking an experienced FX professional to monitor and manage FX risks across multiple currencies, build pricing models, and develop hedging strategies. You will partner with Engineering, Data Science, Product, and Finance to maintain robust FX infrastructure and trading processes.

The ideal candidate has 5+ years in FX or treasury operations, strong Python/SQL skills, and a track record of turning complex data into actionable insights, including AI-enabled automation and model

Qualifications

• 5+ years in FX, market risk, trading, quantitative research, or treasury operations.
• Proficiency in Python and SQL to build analytics and tools, backed by statistics, time series, and risk measurement knowledge.
• Experience with AI tools to streamline analysis and automation and model validation experience.
• Strong cross-functional collaboration and ability to turn data into clear narratives under time pressure.

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.
• Collaborate with Product and Engineering to guide design and scaling of FX infrastructure, trade execution, and liquidity provider integrations.
• Develop risk-based FX pricing methodologies across products and currency pairs, considering volatility, costs, and embedded optionality.
• Design hedging strategies to mitigate FX risks on financial statements with robust controls and runbooks.

Skills

Python

SQL

Statistics

Time series

Risk measurement

Cross-functional collaboration

AI tooling

Education

Bachelor's degree

Job description

Who we are About Stripe 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. About the team At its core, Stripe is a treasury company, and the Treasury Finance team (TFIN) is key to building the Global Payments and Treasury Network (GPTN). Within TFIN, the FX team collaborates closely with product, engineering, sales, and finance teams to manage Stripe’s Corporate and User related FX risk. This includes creating pricing models to keep pace with product expansion and developing hedging strategies to mitigate the risks to Stripe’s profitability. What you’ll do Stripe 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 are 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. 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 upscale 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