Quantitative Analytics Senior (Credit Risk Modeling)
Position Overview
The Freddie Mac Single-Family Division seeks a Quantitative Analytics Senior to develop and execute statistical models and applications in support of business and risk decisions as part of the Credit Risk Modeling Team.
Qualifications
- PhD in Economics, Statistics, Math, Computer Science or related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience
- Strong programming skills in Python, SQL, SAS and Unix
- Experience with programming languages such as R, VBA, Java or C++
- Experience working with large data sets and relational databases
- Experience working with mortgage or consumer credit risk models, prepayment models and severity models
- Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
- Experience in data science, machine learning and related technologies
Keys to Success in this Role
- Outstanding quantitative, empirical analysis, and research skills
- Solid understanding of econometric models, tools and techniques
- Strong programming skills
Our Impact
Our team develops analytical methods and models that assess the credit risk of new and existing financial and mortgage products. We provide innovative, detailed, and practical solutions to complex problems, develop and validate loss forecasting models, conduct research on model improvements, and apply industry-standard methodologies and techniques to meet various business needs. We coordinate model testing, conduct back tests to monitor model performance, and perform economic tests and stress tests to validate model forecast results. We also provide modeling and analytical support to line of business or product areas, serving as a day-to-day technical specialist. We prepare documentation for technical analytics and rationale to comply with model oversight and support model reviews for approval. We independently determine and develop approaches to solutions.