Wise
A Quantitative Developer at Wise owns the production infrastructure for FX pricing, risk, and trading systems within the Treasury Markets Data Science team. The role involves building and maintaining Python microservices, ensuring system reliability, and contributing to quantitative models for real-time curve construction and risk analytics. Candidates will collaborate with quants, traders, and engineers to scale operations across a USD 250bn+ annual FX volume.
Headquarters
London, England, United Kingdom
Company Size
1001-5000 employees
Founded
2011
Wise is a fintech company that provides low-cost international money transfers and multi-currency accounts for individuals and businesses. It uses the mid-market exchange rate with transparent, upfront fees and offers features like local bank details in multiple currencies, a multi-currency debit card, batch and business payments, and an API for automated payouts. Wise operates globally under multiple financial licences, focusing on speed, transparency and lower fees than traditional banks. Founded in 2011 (formerly TransferWise), it serves millions of customers worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Wise.
Wise didn’t post a salary, so this is our estimate from similar listings.
25% above the average for this role
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