Quantitative Risk Analysis Tech Lead (Single-Family Business)

Freddie Mac•McLean, VA

7d•$142,000 - $214,000

About The Position

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 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. 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.

Requirements

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
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

Nice To Haves

DBA experience with cloud databases such as Snowflake is preferred
Knowledge of and experience with statistical modeling and/or AI/ML models is helpful

Responsibilities

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.