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Data Scientist, FX Quantitative Research at Stripe - ApplyBlast

Data Scientist, FX Quantitative Research

Stripe

4 hours ago

3.7 on Glassdoor

New York, New York, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

The Data Scientist, FX Quantitative Research role at Stripe involves building quantitative models and risk frameworks to manage foreign exchange exposure across multiple currencies. The position requires partnering with Treasury, Finance, and Engineering teams to develop forecasting models, hedge optimization frameworks, and production-ready systems for FX risk measurement and decision-making. This hands-on role focuses on translating complex analyses into actionable insights while maintaining rigorous standards for model validation and system reliability.

Responsibilities

Build and evolve FX risk measurement including exposure aggregation and stress testing
Develop forecasting models for FX exposures and multi-currency cash flows
Co-design hedge optimization and decision frameworks with the FX team

Skills

About Stripe

stripe.com

Headquarters

South San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2010

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Stripe is a financial infrastructure platform that provides a suite of APIs and tools to power online and in-person payments and commerce for internet businesses of all sizes. Its product set includes payment processing, billing and subscriptions, marketplace payouts, fraud prevention, card issuing, tax and reporting, and global payment method and currency support. Developers and companies choose Stripe for its clean APIs, extensive documentation, and integrated compliance and developer tooling. Stripe also offers advanced capabilities — including AI-driven features, treasury and embedded-finance tools — to help businesses scale and grow revenue.