Market Risk Associate: Python & Valuation Focus

Banco Santander SA; New York (NY); On-site; USD 90,000 - 155,000; Full time

Job summary

Banco Santander USA seeks an Associate in Market Risk to support risk infrastructure and reporting across asset classes. You will participate in regulatory projects, automate tasks with Python, and collaborate with Trading, Finance, Operations, Technology and other controls functions to resolve risk issues.

The role requires a quantitative degree, early-career experience in market risk, solid Python and Excel skills, and strong analytical communication to convey findings to stakeholders.

Qualifications

• Bachelor’s degree in quantitative discipline; MS in financial mathematics preferred.
• 1-4 years in Market Risk, Quantitative Development, or Financial Market Technology.
• Strong knowledge of Microsoft Office and Python experience.
• Solid knowledge of financial products, market risk metrics and valuation techniques.
• Excellent reporting, project management and organizational skills.

Responsibilities

• Provide day-to-day support of the risk management infrastructure.
• Perform daily risk reporting and performance analysis with investigations of material changes.
• Conduct 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 efficiency.
• Engage in valuation of complex securities.
• Support Market Risk governance activities including limit monitoring and risk procedures.
• Collaborate with Trading, Finance, Operations, Technology and other control functions to resolve risk issues.

Skills

Quantitative skills

Reporting

Project management

Organizational skills

Education

Bachelor’s degree in quantitative discipline

MS in financial mathematics

Tools

Python

Bloomberg

Intex

Job description

Banco Santander USA seeks an Associate in Market Risk to support risk infrastructure and reporting across asset classes. You will participate in regulatory projects, automate tasks with Python, and collaborate with Trading, Finance, Operations, Technology and other controls functions to resolve risk issues.

The role requires a quantitative degree, early-career experience in market risk, solid Python and Excel skills, and strong analytical communication to convey findings to stakeholders.