Quantitative Risk Analytics Tech Lead (Mortgage Credit Risk)
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: Come join a growing team of strategists and problem solvers in Freddie Mac’s Single-Family Acquisitions SF Business Analytics (SFBA) team. Analytics, reporting, and the identification of emerging risks from our newly purchased loan portfolio are critical to Freddie Mac’s success and overall risk mitigation strategies Bring together business partners and identify emerging industry trends in a fast-paced, exciting and diverse work environment Our Impact: Our division is responsible for keeping our finger on the pulse of the mortgages we buy and their performance, ensuring that they remain within the firm’s risk appetite Your Impact: Enhance and implement comprehensive analytical frameworks to measure credit risk and performance of new or existing policies/products/programs by using data and business expertise Provide analytical insights by leveraging machine learning, GenAI, and/or other related quantitative skills Automate processes to monitor emerging risk effectively and efficiently Develop subject matter expertise knowledge about Freddie Mac Single-Family data and the Seller/Servicer Guide and independently extract data to support analytics
Requirements
- Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics, or a related quantitative field (Master’s degree preferred) and 8-10+ years of relevant experience
- 8-10+ years of experience applying analytical skills to solve business problems with large data sets
- Experience writing statistical and/or optimization programs to develop models, algorithms and/or to conduct data analytics on large data sets
- Proficiency in programming languages such as SQL (required), Python (preferred) and/or SAS
- Solid understanding of mortgage related risk, credit, and underwriting/origination life cycle.
- Excellent quantitative, analytical, and problem-solving skills
- Strong experience with data visualization tools including Tableau
Responsibilities
- Enhance and implement comprehensive analytical frameworks to measure credit risk and performance of new or existing policies/products/programs by using data and business expertise
- Provide analytical insights by leveraging machine learning, GenAI, and/or other related quantitative skills
- Automate processes to monitor emerging risk effectively and efficiently
- Develop subject matter expertise knowledge about Freddie Mac Single-Family data and the Seller/Servicer Guide and independently extract data to support analytics
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
