Quantitative Analysis Tech Lead (enterprise risk reporting)

Freddie Mac • McLean, VA

2d • $144,000 - $216,000

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: Do you enjoy automating processes and streamlining data flows? If you’re a proven quantitative expert looking to make a meaningful impact, we’d love to hear from you. Join our Enterprise Risk Management Board Reporting team, where we deliver high-quality reporting that informs the Board, regulators, and senior leaders across the enterprise. As a Quantitative Analysis Tech Lead, you’ll have the opportunity to showcase your automation and development expertise while playing a key role in strengthening our reporting capabilities and ensuring data accuracy. Our Impact: Deliver high-quality risk reporting that keeps the Board, Risk Committee, regulators and senior management informed. Compile and synthesize key risk insights to support the Chief Risk Officer. Partner with diverse first- and second-line teams to collect data and proactively monitor changes in risk exposure. Coordinate Enterprise Risk Committee activities, including planning, materials, and follow-ups. Your Impact: Ensure the accuracy, integrity, and consistency of data used in risk reporting. Automate and optimize reporting processes to improve efficiency and strengthen controls. Partner with data providers to streamline data flows and reduce manual handoffs. Monitor emerging risks, market trends, and external research to deliver timely insights to the Chief Risk Officer. Qualifications: College degree or equal experience; advanced studies/degree preferred. 8+ years of data analysis experience, blending strong hands-on technical expertise with business acumen. Advanced, hands-on development skills in Python, SAS, SQL, and Excel VBA. Proven track record designing and delivering end to end process automation and application development solutions. Expert ability to analyze, manipulate, and validate large datasets; working knowledge of database technologies such as DB2, SQL Server, Snowflake, and similar platforms. Mortgage industry experience, including financial and/or risk analysis. Experience leveraging Generative AI technologies to enhance analytics, automation, or reporting workflows. Strong relationship-building skills and the ability to partner effectively with diverse teams and senior leaders across the enterprise. Excellent written and verbal communication skills. Familiarity with change control practices and delivery methodologies. Highly self-motivated with a strong work ethic. Keys to Success in this Role: Strong attention to detail, with a focus on accuracy and quality. Innovative, “out-of-the-box” thinker who brings fresh ideas and practical solutions. Deep curiosity and a continuous-learning mindset, paired with strong critical thinking. Highly collaborative, with excellent planning, communication, and stakeholder management skills. Embraces change and drives continuous improvement rather than accepting the status quo. Growth-oriented and proactive about building the skills needed to deliver results and stay competitive. Strong sense of urgency, applying a risk-based approach to prioritize work and meet deadlines.

Requirements

• College degree or equal experience; advanced studies/degree preferred.
• 8+ years of data analysis experience, blending strong hands-on technical expertise with business acumen.
• Advanced, hands-on development skills in Python, SAS, SQL, and Excel VBA.
• Proven track record designing and delivering end to end process automation and application development solutions.
• Expert ability to analyze, manipulate, and validate large datasets; working knowledge of database technologies such as DB2, SQL Server, Snowflake, and similar platforms.
• Mortgage industry experience, including financial and/or risk analysis.
• Experience leveraging Generative AI technologies to enhance analytics, automation, or reporting workflows.
• Strong relationship-building skills and the ability to partner effectively with diverse teams and senior leaders across the enterprise.
• Excellent written and verbal communication skills.
• Familiarity with change control practices and delivery methodologies.
• Highly self-motivated with a strong work ethic.

Responsibilities

• Ensure the accuracy, integrity, and consistency of data used in risk reporting.
• Automate and optimize reporting processes to improve efficiency and strengthen controls.
• Partner with data providers to streamline data flows and reduce manual handoffs.
• Monitor emerging risks, market trends, and external research to deliver timely insights to the Chief Risk Officer.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level