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Santander Corporate & Investment Banking (SCIB) in London seeks an Inflation Quant to shape the inflation curve and pricing libraries used by trading desks across the global platform, with exposure across the Rates business.
You will focus on research, development, and production of pricing analytics for inflation derivatives, caps/floors, Bermudan structures, and path-dependent products, using Python, C++, and Rust.
Country: United Kingdom
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Santander Corporate & Investment Banking (SCIB) is Santander's global division, supporting some of the world's most complex and sophisticated corporate and institutional clients with customised services and value-added wholesale products designed around their needs across Europe, US, Latam and Asian markets.
The Front Office Quant Team develops the pricing and risk models, production analytics and tools that support our Sales and Trading businesses. It is a highly respected, trading-aligned team that works side by side with traders and structurers in a dynamic, collaborative environment.
As an Inflation Quant in London, you will help shape the inflation curve and derivatives pricing libraries used by trading teams across SCIB's global platform-not only in London-while gaining broad exposure across the Rates business.
We are looking for a talented and motivated Quant who wants to see rigorous mathematical modelling translated into practical tools used at the trading desk. You will focus on the research, development, implementation and maintenance of pricing analytics and curve-construction frameworks for inflation derivatives, with particular emphasis on optionality, including caps/floors, Bermudan structures and path-dependent products.
This is a visible, high-impact role at the heart of research, trading and technology. It combines deep inflation modelling, broad Rates exposure, global desk interaction and hands‑on development across Python, C++ and Rust. You will have the opportunity to take ownership of meaningful problems from initial research through to production implementation and desk adoption.
You will join at a pivotal stage in the evolution of our quantitative platform. This is a rare opportunity to review, redesign and migrate established Python and C++ libraries into a modern, purpose‑built ecosystem spanning Python, Rust and C++.
You will play a key role in designing, building and maintaining the models and analytics across both the current and target platforms that support our inflation trading business. Your responsibilities will include:
Our people are our greatest strength. Every individual contributes unique perspectives that make us stronger as a team and as an organisation. We're enabling teams to go beyond by valuing who they are and empowering what they bring.
You will bring strong quantitative experience gained within a bank, asset manager, hedge fund or similar financial‑markets environment, together with direct exposure to inflation products.
You will be a commercially minded Quant who enjoys working close to the trading desk and wants to see your work used in real pricing and risk decisions. You will combine strong mathematical modelling skills with the practical engineering judgement required to build reliable, production‑quality analytics.
You will understand that the best front‑office models balance mathematical sophistication with robustness, explainability, stability and performance. You will take ownership of problems, communicate clearly and work effectively with traders, structurers, quantitative developers, technology teams, risk managers and Model Validation.