The incumbent for this position is responsible for managing the development and validation of statistical risk measurement and prediction models for Chase Home Lending.   Specifically, the incumbent will be responsible for: Managing a team of economist and statisticians in the designing, development and calibration of loan level loss forecasting models.  The incumbent is expected to be a "hands on" manager who is both engaged in model development and familiar with industry best practices in the development of competing risk survival models. Communicating and coordinate the release of the loan level loss forecasting models with the production and implementation teams. Developing and maintaining documentation for the loss forecasting models. Interacting with various groups within Chase Home Lending to identify analytic and modeling needs, propose solutions to modeling and valuation issues, initiate new projects and educate model users. Document and communicate model results and insights to senior staff in Chase Home Lending

The incumbent should have a minimum of a Master's degree in a field that provides a strong background in statistical methods such as Statistics or Economics.  A Ph.D. is strongly preferred. While the incumbents experience and accomplishments will be the determining factor, the incumbent must have the following qualifications: Minimum of 5 years experience in the development, use, and validation of statistical models for measuring risk within financial institutions. Prior experience managing and running a statistical modeling team Experience building prepayment, default and delinquency models for mortgage or home equity loans Experience estimating and validating logistic regression models Experience estimating and validating competing risk survival models.  Expert in the use of software for data handling and model development.