Market Risk Associate: Python & Analytics

Santander

United States

Presencial

USD 135.000 - 180.000

Jornada completa

Hace 5 días
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Descripción de la vacante

Santander is seeking a CIB Associate in Market Risk to join a team handling risk management, valuation oversight, and risk reporting across diverse markets including securitized products, rates, credit, equity and convertibles.

The role involves day-to-day risk infrastructure support, daily reporting, ad hoc analytics, regulatory projects, and Python scripting to automate tasks. Collaboration with Trading, Finance and Ops is essential.

Formación

  • Bachelors in quantitative field required; MS preferred.
  • Strong Python experience and knowledge of financial markets.
  • Experience with risk metrics and valuation techniques.

Responsabilidades

  • Provide day-to-day support of the risk management infrastructure.
  • Perform daily risk reporting and performance analysis, including investigation and explanation of material changes.
  • Perform ad hoc risk analysis and support senior risk managers.
  • Participate in regulatory projects and change management efforts.
  • Utilize Python scripting to automate routine tasks and improve risk monitoring.
  • Engage in valuation of complex securities.
  • Support Market Risk governance activities, including limit monitoring and risk procedures.
  • Partner with Trading, Finance, Operations, Technology and other control functions to resolve risk issues.

Conocimientos

Python
Quantitative skills
Analytical thinking
Communication skills
Bloomberg
Intex
Data vendors

Educación

Bachelor's degree in quantitative discipline
MS in financial mathematics

Herramientas

Microsoft Office

Descripción del empleo

Santander is seeking a CIB Associate in Market Risk to join a team handling risk management, valuation oversight, and risk reporting across diverse markets including securitized products, rates, credit, equity and convertibles.

The role involves day-to-day risk infrastructure support, daily reporting, ad hoc analytics, regulatory projects, and Python scripting to automate tasks. Collaboration with Trading, Finance and Ops is essential.

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