Senior FX Quantitative Research Lead

Warmada; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Stripe's Treasury Finance Data Science team seeks a senior quantitative lead for FX. You will co-build with Treasury, the FX hedging team, Finance, and Engineering to shape the research agenda, develop rigorous models, and deploy them into production.

This hands-on role focuses on FX risk measurement, forecast modeling, hedge optimization, and building ML systems for trading and risk, with reliability, monitoring, and leadership reporting.

Qualifications

• PhD with 1–3 years, MS with 2–6 years, or BS with 4–8 years in data science or quantitative modelling.
• Hands-on quantitative experience at a bank, asset manager, hedge fund, trading firm, or similar financial institution with FX, rates, or market risk
• Proficiency in Python and SQL. You write production‑quality code, not just research scripts.
• Experience taking models or analytical systems from research into production

Responsibilities

• Lead FX risk measurement and exposure aggregation across entities and currencies.
• Develop forecasting models for FX exposures and multi‑currency cash flows.
• Co‑design hedge optimization and decision frameworks balancing cost, risk, and liquidity.
• Build ML and statistical systems for trading and risk, from prototype to production.
• Own production systems that generate FX outputs with reliability, monitoring, and incident response.
• Turn business questions into quantitative frameworks and inform leadership decisions.
• Produce clear, trusted analyses and leadership reporting (MBRs/QBRs).
• Use AI tools to speed up modeling and coding while ensuring rigor and auditability.

Skills

Python

SQL

Production-grade code

Data storytelling

Cross-functional collaboration

Time-series modeling

AI tools

Education

PhD

MS

BS

Tools

Spark

Airflow

Flyte

Job description

Stripe's Treasury Finance Data Science team seeks a senior quantitative lead for FX. You will co-build with Treasury, the FX hedging team, Finance, and Engineering to shape the research agenda, develop rigorous models, and deploy them into production.

This hands-on role focuses on FX risk measurement, forecast modeling, hedge optimization, and building ML systems for trading and risk, with reliability, monitoring, and leadership reporting.