Front Office XVA Quant — Madrid | Innovative, High-Impact Quant

Santander

Boadilla del Monte

Presencial

EUR 120.000 - 180.000

Jornada completa

hace 14 horas
Sé de los primeros/as/es en solicitar esta vacante
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Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Competitive rewards
BeHealthy wellness program
Childcare support
Gym/WellHub membership
Shuttle service Madrid

Descripción de la vacante

Santander Global Markets is seeking a Front Office XVA Quant based in Madrid, Spain, to develop pricing libraries and support pricing and risk capabilities across asset classes.

The ideal candidate has 2–3 years in a Front Office Quant team, strong Python and C++ skills, and a solid grounding in fixed income derivatives and pricing theory. English is required; Spanish preferred. This role offers a competitive rewards package within Santander's global markets business.

Formación

  • Minimum 2–3 years in a Front Office Quantitative team (XVA, Rates or Hybrids).
  • Bachelor’s degree in Engineering, Physics, Mathematics or related field.
  • MSc and/or PhD is highly valuable.
  • English required; Spanish preferred.
  • Strong programming in Python and C++; solid modeling skills.

Responsabilidades

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

Conocimientos

Front Office Quantitative
XVA & Risk
Python
C++
Financial modeling

Educación

Bachelor's degree (Engineering/Physics/Math)
MSc/PhD highly valuable

Herramientas

Python
C++

Descripción del empleo

Santander Global Markets is seeking a Front Office XVA Quant based in Madrid, Spain, to develop pricing libraries and support pricing and risk capabilities across asset classes.

The ideal candidate has 2–3 years in a Front Office Quant team, strong Python and C++ skills, and a solid grounding in fixed income derivatives and pricing theory. English is required; Spanish preferred. This role offers a competitive rewards package within Santander's global markets business.

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