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Quantitative Model Development Analyst
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Primary Responsibilities : Development of internal, proprietary predictive models in Python and/or C++ Design, develop, document, and maintain new prepayment and credit models for MBS and ABS Partner with development team to drive implementation and enhancements to models within RiskSpan's analytic platform On-going maintenance, calibration, and testing of existing models, including benchmarking and back testing Development and maintenance of high-quality model documentation. Communicate models, methodology, and research in clear and concise ways to internal stakeholders and external clients Qualifications: Bachelors/Masters degree in a STEM subject 2+ year experience with statistical data analysis Python development experience including NumPy/Pandas, SciPy and Statsmodels/Scikit-learn. Statistics and Data Analysis experience including linear model (Linear and Logistics Regression) and bagging/boosting. Experience with or interest in mortgage loan performance models. Ability to analyze and look for patterns in the historical and model projected data to find issues for further improvement.
