At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Freddie Mac's Enterprise Risk Management Division is currently seeking a Quantitative Analytics Manager to join Enterprise Portfolio Credit Risk. The team conducts independent risk oversight and provides credible challenges over portfolio credit risks and exposures within the Single-Family, Multifamily and Investments & Capital Markets divisions. The objective of the role is to provide quantitative analysis to support second line’s independent oversight of MF credit risk and conduct risk assessment for Risk Appetite, Enterprise Regulatory Capital Framework (ERCF), Stress Testing and other risk management practices in Multifamily segment.

The group is to provide second line’s independent oversight to portfolio credit risk and conduct risk assessment for Risk Appetite, Enterprise Regulatory Capital Framework (ERCF), Stress Testing and other risk management practices in Single-Family, Multifamily and Investments & Capital Markets business divisions.

• Provide oversight to MF portfolio credit risk, including Risk Appetite, ERCF and related risk assessments, functioning as day-to-day technical expert and build partnership with first line
• Help ensure all analysis, framework and models used for MF Risk Appetite and ERCF capture risks appropriately and follow proper governance
• Assist Enterprise Risk Officer and his direct reports in their decision making by providing analytical support
• Monitor market trend and conduct external research to provide effective challenges and oversight to the portfolio credit risk management in MF business line

• PhD in Statistics, Economics, or a related quantitative field with at least three years of related post-graduate work experience; or Master degree with at least five to six years of related quantitative analytics experience or modeling. Prefer experience in mortgage industry.
• Programming experience with proficiency in at least one: Python, SAS, R, Matlab
• Ability to work across teams and with diverse organizations of modeling and risk professionals in an effective and efficient manner
• Self‐motivated, with the capability of managing multiple priorities and efficient in proposing solutions
• Strong leadership, planning and communication skills

• Intellectual agility and interpersonal flexibility
• Strong consultation and communication skills
• Ability to work with and collaborate across the team and where silos exist
• Deep curiosity to learn about new trends
• Ability to apply data to help inform strategy and direction

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

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.

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 $140,000 - $210,000 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.