Sr. Quantitative Credit Risk Analyst

Sr. Risk Statistician

Greater Philadelphia Area


Build loss forecasting, risk & pricing models. Collaborate with cross-functional partners to provide & implement credit risk strategies for optimizing portfolio originations. Conduct proactive & ad hoc analysis to identify emerging business trend, credit loss trend, market performance and portfolio dynamics to enhance credit forecasting methods & techniques. Build, develop & lead the production of various reports & analytics to support on-going monitoring & optimization of our origination strategy.


MS degree in Econometrics, Economics, Statistics or quantitative discipline. 5+ years of experience in financial services industry. Strong SQL skills, analytical skills and expertise in SAS or R. Advanced knowledge of quantitative techniques, statistical analysis techniques & tools, and various database architectures. Experience with large data sets/Big Data and ML is beneficial. Experience with credit loss forecasting or risk-based pricing is a plus Self-directed, self-motivated and demonstrated experience of providing ideas and solutions to impact the business. Ability to work independently on projects with strict deadlines.

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