Quantitative Analytics Tech Lead

JOB DESCRIPTION

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.

Your Impact:

Analytics

• 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

Portfolio Risk Oversight

• 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

Qualifications:

• 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.

• Data Skills: 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.

Keys to Success in this Role:

• 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

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.