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.

Position Overview:

Freddie Mac's Single-Family Servicing Portfolio Analytics (SPA) team is currently seeking a Quantitative Analytics Senior to support Re-Performing Loan (RPL) and Non-Performing Loan (NPL) Deal data and Single-Family portfolio analytics. This role focuses on servicing performance analytics, as well as data quality of RPL/NPL Deal. The ideal candidate will be passionate about data and quantitative methods, assessing mortgage performance measurements such as credit loss, delinquency, default risk, and policy impacts.

Our Impact:

Provide accurate loan data for the pool of loans involved in RPL and NPL transactions.

Reduce credit losses, enhance servicing performance, and deliver analytics to support broader servicing portfolio management strategies.

Develop data-driven dashboards to empower senior management in making informed decisions regarding portfolio management.

Use single family model to analysis single family servicing portfolio and our analytics results are broadly shared by the company.

Your Impact:

Lead RPL and NPL data validation and quality control, working with minimal direct supervision.

Collaborate with the Servicing Capital Market (SCM) and Loan Portfolio Management and Structuring (LPMS) teams to conduct data due diligence, validate data quality, and assess loan drop criteria. You will also review loan tape and loan population to ensure high-confidence data quality.

Build and maintain Snowflake databases, ensuring routine maintenance for optimal data integrity.

Use models and other corporate tools to provide portfolio analytics from complex datasets with significant variability, uncovering key business insights and supporting business proposals.

Support business divisions with actionable analysis of data patterns, providing visual insights through Tableau or similar BI tools to inform decisions.

Bridge business understanding with quantitative methodologies to enhance servicing performance evaluation processes, metrics, and tools that support business decision-making.

Qualifications:

Doctorate degree (or Master's degree with equivalent work experience)in quantitative finance, statistics or a related quantitative field.

Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.

Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SQL, Java, SAS, and MATLAB.

Proficiency in SQL, with strong programming skills in at least one language (SAS or Python preferred).

Experience in ETL tool & Autosys is a plus.

Keys to Success in this Role:

Ability to handle multiple priorities and meet deadlines.

Strong communication skills and teamwork capabilities.

Ability to take ownership and exhibit self-motivation in driving tasks to completion.

Deep curiosity to learn with critical thinking, ability to translate business requirements into analytics solutions, delivering insights in a clear and actionable format.

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.

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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

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 $118,000 - $178,000 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.