Position Overview:Single-Family Quality Control Sampling, Analytics, & Reporting (QCSAR) is seeking an experienced, self-motivated, and results-driven quantitative risk analytics tech lead who will serve as a key bridge between QC business stakeholders and Single-Family data and technology teams to deliver high-quality sampling and reporting services with speed and precision. This role will also lead team technical codebase and data development and management. The position also requires strong data research and analytical capabilities, along with statistical expertise and innovation to support new risk-based sampling and analytics initiatives.
Our Impact:Our team plays a critical role in protecting Freddie Mac's Single-Family business through Quality Control. We design and select loan samples for underwriting review and analyze the results to assess loan origination quality across key areas. We also identify higher-risk loans and select non-performing loans for review to help reduce potential credit losses. Through this work, we provide actionable insights that support improvements in the loan origination process and enable more proactive risk mitigation.
Your Impact:As the technical lead for Quality Control sampling, analytics, and reporting, you will assist management in setting the direction for the team's data and analytics solutions while ensuring reliable delivery of critical business outputs. This role combines hands-on technical leadership, platform and codebase ownership, and close partnership with business and technology stakeholders to advance both routine operations and strategic initiatives.
- Drive modernization of sampling, reporting, and analytics workflows by identifying opportunities to simplify, automate, and scale existing processes and tools.
- Shape technical approaches and analytical frameworks for new initiatives, ensuring solutions are practical, scalable, and aligned with business priorities and risk management objectives.
- Lead development and governance of the team's overall sampling codebase and related technical assets across SAS, SQL, Python, Snowflake and UNIX-based workflows.
- Partner closely with Single-Family data and technology teams to define data requirements, resolve issues, and build sustainable data solutions that bridge legacy and modern QC systems.
- Support peer technical code reviews for the team and ad hoc analytics for leadership.
Qualifications:- Doctorate degree plus 3 years of working experience (or Master's degree with 5 years of equivalent work experience) in quantitative finance, statistics or a related quantitative field of studies.
- 7+ years of relevant professional experience, preferably 5+ years recent experience in mortgage or financial services industries
- 5+ years recent experience with analyzing large datasets using a combination of SQL and SAS/Python/R.
- 3+ years recent experience with data visualization tools such as Tableau (preferred to include server/site administration) and/or Power BI
- Knowledge of standard processes and risk controls around data and analytics is a must; DBA experience with cloud databases such as Snowflake is preferred
- Knowledge of and experience with statistical modeling and/or AI/ML models is helpful
Keys to Success in this Role:- Attention to detail and high quality of work
- Excellent data and programming skills
- Strong communication skills both oral and written
- Proven quantitative, analytical and problem-solving skills
- Self-motivated and proactive problem solver
- Must be able to manage several priorities, meet deadlines, identify and advance issues appropriately to management
Current Freddie Mac employees please apply through the internal career site.Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $142,000 - $214,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
