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Vice President – Front Office Quantitative Analytics (Latin America Rates & FX)

Santander US · New York, NY

Publicada em 23/08/2026

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It Starts Here:Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible.  This is more than a strategic shift.  It’s a chance for driven professionals to grow, learn, and make a real difference.If you are interested in exploring the possibilities We Want to Talk to You!The Difference You Make:We are seeking a talented and motivated Front Office Quantitative Analyst to join our New York Quant team supporting the Latin America Rates and FX business. This role sits at the intersection of quantitative research, technology, and trading, with responsibility for developing, implementing, and maintaining pricing, risk, and market analytics for linear interest rate and foreign exchange products across local and offshore Latin American markets.As part of a global Quant team, you will contribute to the build-out of a modern quantitative framework, working on next-generation pricing libraries while supporting and enhancing existing production systems. This is a unique opportunity to help shape a scalable, high-performance quantitative ecosystem while partnering directly with Trading, Sales, Structuring, Risk, and Technology teams to support one of the firm's core Latin America franchises.Key ResponsibilitiesDevelop, enhance, and maintain pricing and risk analytics for linear interest rate and FX products, including interest rate swaps, cross-currency swaps, FX forwards/NDFs, sovereign bonds, repos, and money market instruments.Design and enhance multi-curve construction frameworks for discounting, forwarding, collateral, and cross-currency basis across developed and Latin American markets.Develop quantitative models and market data infrastructure supporting local and offshore Latin
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