Madrid Front Office XVA Quant | Python/C++ Specialist

Banco Santander SA; España; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive bonus

Banking benefits

BeHealthy program

Childcare support

Contigo program

Gym membership

Meal subsidy

Parking

Shuttle service

Open Academy access

Job summary

Banco Santander SA in Madrid is seeking a Front Office XVA Quant for Santander Global Markets. You will join the XVA Quantitative Team to develop, enhance, and maintain pricing libraries across asset classes and support trading desks.

The role requires 2-3 years in a Front Office Quantitative function with experience in XVA, rates or hybrids; a quantitative degree; strong Python and C++ skills; and knowledge of fixed income derivatives, options pricing, and risk modeling.

Qualifications

• Minimum 2-3 years in a Front Office Quantitative team (XVA/Rates/Hybrids).
• Bachelor’s degree or equivalent in a quantitative discipline. MSc/PhD highly valuable.

Responsibilities

• Contribute actively to design and implementation of pricing and risk libraries.
• Build pricing, risk-management, and market-making tools for trading desks.
• Enhance and extend quantitative frameworks and tools to high quality standards.
• Develop, improve, and maintain robust testing for quantitative libraries and tools.
• Produce clear mathematical and technical documentation for internal stakeholders.
• Partner with and support Trading, Sales, and Risk teams.

Skills

Python

C++

Fixed income derivatives

Options pricing

Probability theory

Quantitative analysis

Education

Bachelor's degree in Engineering, Physics, Mathematics

MSc/PhD valuable

Job description

Banco Santander SA in Madrid is seeking a Front Office XVA Quant for Santander Global Markets. You will join the XVA Quantitative Team to develop, enhance, and maintain pricing libraries across asset classes and support trading desks.

The role requires 2-3 years in a Front Office Quantitative function with experience in XVA, rates or hybrids; a quantitative degree; strong Python and C++ skills; and knowledge of fixed income derivatives, options pricing, and risk modeling.