Risk Analytics – Counterparty Credit Risk Quantitative Analyst; Vice President

We are seeking a highly skilled quantitative specialist to join our Risk Analytics group, focusing on the development and management of internal credit rating models for counter parties. This role covers the full model development life cycle — from project design and methodology development, through local implementation, testing, documentation, submission, and ongoing monitoring — to model enhancement and remediation. In addition, the analyst will provide quantitative risk analysis to support daily counter party credit risk management activities.

• Design, develop, and implement robust internal credit rating models for counter party credit risk management.
• Translate complex financial information into factor variables and statistical model drivers.
• Build and maintain model performance monitoring and backtesting frameworks.
• Assess methodologies and processes to identify potential weaknesses and evaluate risk materiality.
• Conduct quantitative research to implement model changes, enhancements, and remediations.
• Collaborate closely with stakeholders across business and functional teams to ensure effective model development and utilization.

• Master’s degree in a quantitative discipline (Statistics, Mathematics, Financial Engineering, Physics, or similar).
• Direct experience and knowledge of NRSRO framework or Internal Rating Methodology for Credit Risk in Basel framework (IRB).
• Deep expertise in scorecard variable selection, logistic regression, rating models, Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) models.
• Strong analytical skills with the ability to interpret complex quantitative models and translate into sustainable library design, code development, and integration into IT systems.
• 3–5 years of hands‑on experience in credit rating model design, development, and validation.
• Proficient in Python; experience with R or other statistical programming languages is desirable.
• Excellent data handling and analytics capabilities.
• Strong project management, organizational, and stakeholder communication skills.
• Excellent written communication skills, with the ability to produce precise and compliant model documentation.
• Familiarity with Numerix and/or Bloomberg platforms would be a plus.

Jefferies is a leading global, full‑service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.

At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law.

We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.