VP - Commercial Credit Risk Scorecard

  • Competitive
  • Charlotte, NC, USA
  • Permanent, Full time
  • Opus Recruitment Solutions Limited
  • 15 Sep 16

My client is a Global Invetsment Bank that is seeking a VP, Commerical Credit Risk Scorecard to be responsible for independently conducting quantitative analytics and complex modeling projects. The person will lead efforts in development of new models, analytic processes or system approaches. The person will create documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

My client is a Global Invetsment Bank that is seeking a VP, Commerical Credit Risk Scorecard to be responsible for independently conducting quantitative analytics and complex modeling projects. The person will lead efforts in development of new models, analytic processes or system approaches. The person will create documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.  Responsible for validating mathematical models used in commercial credit risk scorecards.  Successful candidate strong background in any of the following:  commercial credit risk, consumer credit risk, commercial credit risk, credit risk forecasting and stress testing.  Review mathematical models related to underlying assumptions, theoretical foundations, statistical and mathematical methods, empirical evidence, and data quality and software implementation. Assess quality of model outputs through back testing against realized outcomes and benchmarking against other models or systems. Develop independent tests to verify model results and document validation results. Interact with financial services regulators (OCC, Federal Reserve, FDIC). Influence, negotiate, and collaborate at multiple levels across the enterprise.

 

Required skills:

•             PhD in finance, economics, mathematics, physics or engineering (or other related quantitative discipline)

•             4-7 years of relevant work experience.

•             Expertise in modeling credit risk for financial institutions.

•             In-depth understanding of statistical inference and related techniques.

•             Deep knowledge in a statistical or analytical modeling language such as SAS, Matlab or R.

•             Experience working with large and complex data sets using Excel or SQL.

•             Strong written and verbal communication skills.

•             Deep understanding and knowledge of model performance measures.

Desired skills:

•             Commercial Credit Risk Score Cards

Credit Risk Forecasting and Stress Testing, Scorecard Validations

•             Ability to work independently 

•             Extensive knowledge of banking regulations on credit risk, model risk and credit risk modeling methodologies.