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Santander

Global retail and commercial banking group

Vice President Inflation Quant - Inflation Quant

Quantitative ResearchConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • An MSc or equivalent in Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or another relevant quantitative discipline.
  • Professional experience developing pricing models for options and/or exotic derivatives within a financial institution, ideally in a Front Office Quant team working closely with Trading.
  • Strong knowledge of interest-rate and/or inflation derivatives modelling, together with a sound understanding of calibration and numerical techniques.
  • Practical experience in inflation and/or rates curve construction, including interpolation and calibration.
  • Excellent programming skills in Python and/or C++, with strong experience using scientific and numerical libraries such as NumPy, SciPy and pandas.
  • Familiarity with model-validation processes, model documentation, model-risk governance and relevant regulatory expectations.
  • Strong written and verbal communication skills, with the ability to explain complex modelling concepts clearly to both technical and non-technical stakeholders.

Responsibilities

  • Design, develop and maintain models for inflation swaps, YoY and LPI structures, caps/floors, Bermudan options and other inflation-linked optionality, with related exposure to cash inflation instruments such as linkers and US TIPS.
  • Research, develop and calibrate pricing models for inflation options, inflation cap/floor markets and related volatility analytics.
  • Develop and enhance robust inflation curve-construction methodologies, including calibration, interpolation, extrapolation and the treatment of seasonality.
  • Build and improve production analytics for pricing, risk, calibration and scenario analysis across inflation and related Rates products, with a strong focus on accuracy, resilience and performance.
  • Develop practical modelling and pricing solutions for structured products with inflation components, working directly with Structuring and Trading from initial idea through to implementation.
  • Produce clear and rigorous model documentation and present methodologies, assumptions, limitations and results to traders, senior management and Model Validation.
  • Implement, test, optimise and support production analytics in libraries written in Python, C++ and Rust, helping move research efficiently from prototype to production while contributing to the modernisation of the wider quantitative platform.

Desired Qualifications

  • A PhD in Mathematics, Physics, Engineering, Computer Science, Quantitative Finance or another relevant quantitative discipline.
  • Hands-on experience with products such as YoY options, LPI swaps, inflation caps/floors and Bermudan options.
  • Knowledge of cash inflation markets, including linkers and inflation-linked asset swaps, alongside derivatives experience.
  • Front Office Quant experience in inflation options and/or hybrid Rates–inflation models.
  • Professional experience using Rust within a large-scale quantitative or trading analytics ecosystem.
  • Experience with automated testing, continuous integration and deployment pipelines, version control and modern software-development practices.

About the Company

Santander

Global retail and commercial banking group

Santander is a global bank focusing on retail and commercial banking in Europe and the Americas, serving individuals and SMEs with regional franchises and a broad consumer finance arm, plus a Corporate & Investment Banking division for multinational clients. It uses its Gravity cloud platform to migrate core banking and rapidly deploy digital services such as Openbank across markets, combining fintech-style agility with a bank's balance sheet. The bank differentiates itself by marrying a large retail footprint with global CIB capabilities under the One Santander verticals model to boost efficiency and cross-border revenue. Its goals include improving returns on tangible equity and financing the green economy through sustainable finance and renewable energy projects.

Company size
10,001+
Company stage
IPO
Headquarters
Boadilla del Monte, Spain
Founded
1902

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