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Data Scientist, FX Quantitative Research at Stripe - ApplyBlast

Data Scientist, FX Quantitative Research

Stripe

5 hours ago

3.7 on Glassdoor

Toronto, Ontario, Canada

Onsite

Full Time

Senior

0 applicants

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About this role

The Data Scientist, FX Quantitative Research role at Stripe involves leading quantitative efforts for foreign exchange risk measurement, forecasting, and hedging within the Treasury Finance Data Science team. This hands-on position requires developing rigorous models, building production systems, and partnering with cross-functional teams to shape FX risk strategy and decision-making. The role focuses on turning complex analyses into clear insights for leadership while maintaining high technical standards.

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

View Profile

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.