Quantitative Analytics Tech Lead (credit modeling)
About The Position
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Single-Family Division is seeking a Quantitative Analytics Tech Lead to join the Single-Family Model Strategy Team. This role focuses on credit modeling and credit data, and is responsible for developing and implementing statistical models and applications to support business and risk decision-making processes. #MoreAtFreddieMac! Our Impact: Our team is responsible for developing underwriting and credit scoring models for Freddie Mac. Your Impact: Developing analytical methods and models that evaluate the credit risk associated with new and existing financial and mortgage products, specifically focusing on credit-related models and data. Conducting research to enhance current credit models, and applying industry-standard processes and techniques to address a range of business needs. Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems. Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application. Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results. Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist. Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval. Working under limited direction, independently resolving and developing approach to solution.
Requirements
- Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.)
- Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods
- Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB
- Proficiency in programming languages such as Python, SQL or Unix
- Experience working with large data sets and relational database
- Exceptional quantitative and analytics skills
- Strong knowledge of statistical models, tools and techniques
- Strong programming skills
- Strong communication skills
Nice To Haves
- 5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
- Experience in statistical model development and implementation is preferred
- Experience with software development and system setup for model application is preferred
Responsibilities
- Developing analytical methods and models that evaluate the credit risk associated with new and existing financial and mortgage products, specifically focusing on credit-related models and data.
- Conducting research to enhance current credit models, and applying industry-standard processes and techniques to address a range of business needs.
- Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
- Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
- Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
- Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
- Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
- Working under limited direction, independently resolving and developing approach to solution.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
