Our client is seeking an accomplished Risk Modeler to develop statistical models to support risk management initiatives for the company's consumer loan portfolio. The ideal candidate will have expertise in risk scorecard analytics and an understanding of exploratory data analysis, classical regression techniques, CHAID/CART and logistic models.

In addition, this position will be responsible for consulting support to the portfolio teams related to the usage of decision tools, communicating results to diverse audiences, and participating on teams to solve business problems, identifying modeling opportunities that yield measurable business results.

Qualifications: 

Bachelor’s degree in quantitative field such as statistics, economics, operations research or mathematics. Masters/PhD preferred.
2+ years of hands-on coding experience in SAS
Strong understanding of statistical tools
Excellent communication skills