Quantitative Analytics Tech Lead

Freddie Mac•McLean, VA

7d•$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: The Enterprise Counterparty Credit Risk (“ECCR”) Oversight group in the Enterprise Risk serves as the second line of defense for counterparty credit risks emerging in the SF, I&CM and MF businesses. ECCR performs an independent assessment of counterparty risk activities, leads the development of risk appetite frameworks, and works with the business divisions in development of risk rating and measurement methodologies. We are seeking a highly technical and analytical Counterparty Risk Management person to join our Risk Management team. In this pivotal role, you will be responsible for developing, enhancing, and executing the quantitative analytics used to assess and monitor the credit risk of our diverse counterparty portfolio. This portfolio includes traditional banking institutions, mortgage insurance (MI) providers, and seller/servicers. Your work will be data-driven, requiring robust technical skills to model financial health, estimate potential exposure, and ensure the resilience of our operations against counterparty default.

Requirements

PhD in economics, finance, statistics, or related quantitative discipline with 3+ years experience, or Master’s with 5+ years relevant experience.
Experience in counterparty credit risk or mortgage credit risk.
Demonstrated expertise in counterparty financial analysis or mortgage credit analysis.
Expert-level proficiency in SQL for querying large databases.
Tableau or other analytical tools to analyze data.
Strong understanding of financial statements, credit risk metrics, and capital markets.
Excellent verbal and written communication skills with the ability to communicate complex information to a variety of audiences, including senior management.
Demonstrated working knowledge of AI‑enabled tools and technologies, with the ability to apply them to improve efficiency, productivity, and quality of work.
Experience using AI tools responsibly to support data analysis, content development, research, decision‑making, or process optimization.
Excellent analytical skills.
Ability to perform empirical analysis and synthesize information for stakeholders, including senior management
Execution focused, with demonstrated initiative and personal accountability
Strong consultation and influencing skills
Ability to work with and collaborate across the team and where silos exist
Ability to work independently and adapt in a changing environment
Curiosity to learn and challenge the status quo

Responsibilities

Assess and enhance quantitative models used to estimate Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) for counterparties including banks, MIs, and seller/servicers.
Conduct deep-dive financial statement analysis, including ratio analysis, cash flow modeling, and capital adequacy assessment.
Analyze and integrate external credit ratings, market-based signals (CDS spreads, equity volatility), and internal risk metrics to form a holistic risk view.
Conduct stress testing and scenario analysis to assess the potential impact of economic downturns on counterparty portfolios.
Research methodologies for risk rating, exposure measurement by reviewing publications such as default studies, regulatory practices, and other available literature through rating agencies.
Assist in performing in-depth data driven analysis, which entails a deep dive into risk trends, changes in internal and external factors that support ERM’s independent assessment.
Assist in performing use assessments of counterparty risk models
Lead independent oversight and assessment of counterparty credit risk management strategies and activities and document results
Evaluate new business initiatives and evolving business practices for counterparty credit risks
Identify and communicate significant risks and issues (“credible challenge”) to the Enterprise Risk Officer and first line business management; monitor risk response and resolution activities
Build strong partnerships with first line counterparts and across Enterprise Risk Management