VP, MPE Modeler / Credit Risk Quantitative Analyst

Risk Analytics – counterparty credit risk quantitative analyst

Quantitative specialist for developing and managing analytics for counterparty credit risk models. Candidate will join the Risk Analytics group that partakes in model development over the full life-cycle of modes: from methodology to design to local implementation and validation. The successful candidate will also provide analysis and feedback on changes to or introduction of new models at the firm.

Responsibilities

• Develop and implement analytics for counterparty credit risk management.
• Build infrastructure to consolidate counterparty credit risk models across systems.
• Create and execute strategies to minimize risk based capital required by regulation.
• Perform quantitative research to implement model changes, enhancements and remediations.
• Work with stakeholders across business and functional teams during model development process.
• Create tools and dashboards which can enhance and improve the risk analysis.
• Conduct analysis on existing model short-comings and design remediation plans.
• Maintain, update and back-test risk models.
• Develop Risk Analytics platform.
• Assess the methodologies and processes used by modeling teams to develop and manage their models, and identify potential weaknesses and the associated materiality of the risk

Qualifications

• At least a Master’s Degree in quantitative subject; PhD Degree is a plus.
• Deep understanding of pricing and risk calculations for financial derivatives.
• Strong analytical skills required to understand quantitative models, and to translate that understanding into sustainable library design, code development and integration into IT systems.
• At least 5-7 years of experience in counterparty credit risk modeling.
• Strong project management and organizational skills.
• Proficient programming skills in python (other languages such as R is a plus).
• Strong programing skills and data handling skills in SQL and R/Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results). 
• Excellent written skills (ability to produce well-structured technical model documentation). 
• Knowledge of Numerix and/or Bloomberg a plus. 

 

Primary Location Full Time Salary Range of $130,000 - $190,000 

Jefferies Financial Group Inc. (‘‘Jefferies,’’ ‘‘we,’’ ‘‘us’’ or ‘‘our’’) is a U.S.-headquartered global full service, integrated investment banking and securities firm. Our largest subsidiary, Jefferies LLC, a U.S. broker-dealer, was founded in the U.S. in 1962 and our first international operating subsidiary, Jefferies International Limited, a U.K. broker-dealer, was established in the U.K. in 1986. Our strategy focuses on continuing to build out our investment banking effort, enhancing our capital markets businesses and further developing our Leucadia Asset Management alternative asset management platform. We offer deep sector expertise across a full range of products and services in investment banking, equities, fixed income, asset and wealth management in the Americas, Europe and the Middle East and Asia.  

 

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 committed to creating and sustaining a diverse workforce and encourages applicants from all backgrounds to apply. This includes applicants from historically underrepresented groups, including women, racial and ethnic minorities, members of the LGBTQ+ community, military veterans, and individuals with disabilities or who are neurodiverse. 

 

Jefferies is an eq