Senior FX Trading & Risk Strategist

Leyla; 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

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