Data Modeler - Manager, Collection Strategies

Company Name:
Sallie Mae
position
will report to the Director of Collection Strategies for Private Credit. The ideal candidate will have experience with predictive modeling, data mining and management, loss forecasting, and strategy implementation. It is also preferred that the candidate possess project management skills, presentation skills and exceptional organizational skills required to manage and sponsor several projects simultaneously. Additionally, experience in the management, development and training of strategic analysts and modelers is preferred.
Responsibilities will include strategy development, testing, implementation, validation and analytics. This
manager
and analysts on the strategies team will work closely with modeling resources to direct the development of complex segmentation and prediction tools for use in strategic applications. In addition, candidate will manage the creation and interpretation of analysis/validations connected to models and strategic initiatives. This team will also be routinely call upon for ad-hoc analysis including: reporting and analysis on modeling performance, portfolio trends, performance metrics, strategy performance analytics, inventory management, etc.
5+ years of experience
Experience in a bank or non-bank financial institution
Experience with analytics tools such as SAS, Matlab, or SPSS.
Experience with Business Objects, Oracle Business Intelligence, Crystal Reports.
Knowledge of database languages, such as SQL, for the retrieval and management of data.
Bachelor's Degree - Business, Accounting, Marketing, Mathematics, Statistics, Operations Research, Finance.
Sallie Mae is a federal government contractor. Should this position support a government contract, now or in the future, the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions.

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