A leading global investment bank is seeking an Associate to join their Modeling Counterparty Risk team.

This role will play a key part in the oversight, enhancement, and ongoing performance monitoring of counterparty risk models used to measure derivatives exposure across global markets. The successful candidate will partner closely with Risk, Front Office, and Technology teams to drive model improvements, support new product initiatives, and ensure risk frameworks remain robust and aligned with evolving business and regulatory requirements. The position offers significant exposure to Counterparty Credit Risk, XVA frameworks, and enterprise-wide risk management practices, making it an excellent opportunity for a quantitative professional looking to deepen their technical expertise while gaining broad exposure across a global investment banking platform.

The ideal candidate will have 1-4 years of experience in quantitative risk, market risk, counterparty credit risk, model development/validation. With experience working with Counterparty Credit Risk models (CVA, XVA, PFE, EPE), market risk modeling, or derivatives pricing models. Solid knowledge of derivatives products, quantitative risk methodologies, and programming skills in Python, SQL, or similar analytical tools are highly preferred.

• Assist in the development and maintenance of counterparty risk models(PFE, EPE and SIMM)
• Conduct ongoing model performance reviews, analysis of exceptions, and investigations into material risk movements.
• Partner with technology teams on model implementation, testing initiatives, and enhancements required for new products and business activity.
• Collaborate with trading, risk, and operations stakeholders to improve risk measurement frameworks and deliver analytical insights.

Qualifications:

• 1-4 years of experience in quantitative risk, market risk, counterparty credit risk, model development/validation or a related function.
• Solidcunderstanding of derivatives products and associated risk and valuation concepts.
• Experience working with counterparty risk models and analytics (CVA,XVA,PFE, EPE).
• Proficiency in Python, SQL, or similar analytical tools, with strong problem-solving and communication skills.