Counterparty Credit Risk Quantitative Analyst (Vice President)

Company

Jefferies, the global investment banking firm, has served companies and investors for almost 60 years. Headquartered in New York with its European head office in London, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and asset management. Jefferies provides research and execution services in equity, fixed income, foreign exchange, and a full range of investment banking services including underwriting, merger & acquisition, restructuring and recapitalisation and other advisory services, with businesses operating in the Americas, Europe and Asia. 

Job Description

We are seeking a highly skilled quantitative professional to join the Risk Analytics group to develop and manage analytics for counterparty credit risk models focused on fixed income products, including repos, security lend/borrow, mortgages, and interest rate derivatives. The candidate will contribute to model development across the full model lifecycle, from methodology and design to implementation, validation, and ongoing performance monitoring. The successful candidate will also provide quantitative risk analysis to support day-to-day counterparty credit risk management. 

Responsibilities

• Develop and implement analytics to support counterparty credit risk management


• Design and Build infrastructure to consolidate counterparty credit risk models across systems


• Conduct quantitative research to implement model changes, enhancements, and remediations


• Design and develop analytical tools and dashboards to enhance risk transparency and decision-making


• Build and maintain model performance monitoring, benchmarking, and back testing frameworks


• Assess methodologies and processes to identify potential weaknesses and evaluate risk materiality


• Partner with stakeholders across business, risk, technology, and other functional teams to ensure effective model development, governance, and usage 

Qualifications

• A minimum of 3–5 years of experience in counterparty credit risk modeling


• Deep understanding of pricing and risk calculations for financial products


• Strong analytical skills, with the ability to interpret complex quantitative models and translate business requirements into robust library design, code development, and integration into IT systems


• Proficiency in Python and other programming languages, with strong data-handling skills in SQL


• Strong project management, organizational, and stakeholder communication skills.


• Excellent written communication skills, with the ability to produce clear, precise, and compliant model documentation.


• Familiarity with Numerix and/or Bloomberg platforms is preferred


• Master’s Degree in a quantitative discipline; PhD preferred

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