Counterparty Credit Risk Quant - Vice President

Counterparty Credit Risk Quant - Vice President

City of London

Hybrid (3/2 split)

Permanent

Up to £115,000

cer Financial are working alongside an exciting, mid-tier bank, who are based in the City of London. They are seeking a Counterparty Credit Risk Quant - Vice President to work with them on a permanent basis.

The responsibilities of the Counterparty Credit Risk Quant - Vice President will include:

· Develop and manage counterparty credit risk stress-testing scenarios aligned with market risk frameworks for daily and ad-hoc analysis.

· Collaborate with the Americas Quant team to enhance and implement stress-testing scenarios for the EMEA portfolio.

· Contribute to the Credit and Counterparty Credit Risk Committee, providing key risk insights and reporting.

· Deliver risk management services to regional entities in line with internal service agreements.

· Apply strong expertise in derivatives, repos, securities lending/borrowing, and fixed income products to support evolving business activities.

· Support the expansion of ICAAP and ICARA frameworks to Trading Book products, including capital calculation and stress-testing model development.

· Ensure risk and capital models remain compliant with internal policies and regulatory requirements.

· Participate in ICAAP/ICARA processes, including risk appetite setting, scenario design, stress testing, and capital assessments.

The successful candidate will have:

· Strong experience in Counterparty Credit Risk (CCR) analytics within financial services.

· Solid understanding of CCR metrics, including Potential Exposure, Wrong-Way Risk, and Stress Testing.

· Extensive knowledge of Fixed Income and Derivative products, including Bonds, Repos, and IR/FX/Credit derivatives, and their associated risks.

· Hands-on experience with risk models such as VaR and Expected Shortfall (ES), with strong knowledge of Basel capital regulations for Market Risk and CCR.

· Advanced proficiency in Excel and strong programming skills in Python, VBA, R, and SQL.

· Experience building and using data visualisation dashboards with Power BI and Tableau.

· Proficient with key industry tools and platforms, including Bloomberg, Power BI, Prism, GBR, and Microsoft Office applications.