Quantitative Model Development Analyst
Description
RiskSpan is a product as well as a management consulting firm, a leading source of analytics, modeling, data and risk management for the Consumer and Institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk and information technology domains. Our focus is on fostering a high -performance culture with work life balance, one that develops a top-notch talent pool with the skills and determination to deliver above and beyond.
Primary Responsibilities:
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.
RiskSpan is proud to be an Equal Opportunity/Affirmative Action employer committed to hiring a diverse workforce and sustaining an inclusive culture. Qualified candidates must be legally authorized to be employed in the United States on an unrestricted basis.