Director of Data Science 093779

Profile

Develop and implement of state-of-the-art consumer finance, mortgage credit models and credit risk scorecards used for underwriting eligibility, pricing assessment, portfolio monitoring, economic analysis, and forecasting. Drive innovation around leveraging alternative data sources and technologies to aid and enhance existing modeling capacity, e.g. uses of Credit Bureau Data, Social Media & other data, implementation of Machine Learning, AI methods and related data management practices. Work under minimal supervision.

Travel up to 10% may be required. All travel is between domestic offices in Reston, VA and Radnor, PA, a distance of approximately 150 miles.
The experience and education requirements are:
1 year of experience as a Quantitative Analytics Tech Lead or related occupation within a consulting, corporate, or government environment.

Must include some experience with: Developing and implementing statistical models; Credit risk modeling; SAS, MATLAB, and Python; Predictive modeling; Delivering business-oriented communications for technical and non-technical audiences; and Real estate and the US mortgage industry, and mortgage default and prepayment modeling.
A Ph.D. in Economics, Finance, Statistics, or a related quantitative field. Foreign equivalents are acceptable.

Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #093779 in the subject line.
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