Senior FX Quantitative Research Lead

Stripe, Inc.

Seattle (WA)

Hybrid

USD 159,000 - 288,000

Full time

6 days ago
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Job summary

Stripe, Inc. is seeking a senior quantitative lead for FX within Treasury Finance Data Science. You will co-build with Treasury, the FX hedging team, Finance, and Engineering to shape the research agenda, develop rigorous models, and deploy production-ready systems.

Requirements include PhD/MS/BS with substantial data science experience, strong Python and SQL skills, and a track record of delivering models from research to production. Hybrid in-office work is expected in the US.

Qualifications

  • PhD with 1–3 years, MS/MA with 2–6 years, or BS/BA with 4–8 years of data science or quantitative modeling experience.
  • Hands-on quantitative experience at a bank, asset manager, hedge fund, or similar financial institution with FX, rates, or market risk exposure.
  • Strong foundation in statistics, probability, and time-series modeling; knowledge of VaR, ES, stress testing; hedging instruments.
  • Production-quality code and ability to take models from research to production.
  • Ability to communicate results clearly to senior non-technical stakeholders.

Responsibilities

  • Be the senior quantitative lead for FX within Treasury Finance Data Science.
  • Co-build with Treasury, FX hedging, Finance, and Engineering to shape research and production-ready models.
  • Design methodology, write code, and ship into production.

Skills

Python
SQL
Statistics
Time-series
Cross-functional comms

Education

PhD/ MS/ BS in quantitative field

Tools

Spark
Airflow
Flyte

Job description

Stripe, Inc. is seeking a senior quantitative lead for FX within Treasury Finance Data Science. You will co-build with Treasury, the FX hedging team, Finance, and Engineering to shape the research agenda, develop rigorous models, and deploy production-ready systems.

Requirements include PhD/MS/BS with substantial data science experience, strong Python and SQL skills, and a track record of delivering models from research to production. Hybrid in-office work is expected in the US.

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