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…intelligence tools, and statistical analysis; familiarity with SQL, GIS, or similar analytical tools is…
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Closed listing

Freddie Mac

Quantitative Analytics Senior (Model Risk Audit)

McLean, VA, United States

This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program.

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program.
Experience: Master’s degree with at least 3 years of relevant experience, or a Doctorate degree in quantitative finance, economics, statistics or a related quantitative field.
Posting language: English
Posted: Oct 28, 2026

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Original job description

Archived listing. The details below describe a past opening.

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 Model Audit team in Internal Audit is seeking an experienced quantitative professional to provide independent assurance over models used in significant risk management, valuation, hedging, capital, and business decisions. The role offers an opportunity to apply deep quantitative expertise across market risk, capital, credit risk, and artificial intelligence and machine learning (AI/ML) models while influencing model governance and communicating insights to senior stakeholders. This role is ideal for model developers, validators, quantitative researchers, and risk professionals who enjoy applying or reviewing rigorous analytical techniques to complex business problems. The position emphasizes independent quantitative assessment of model design and outcomes through data-driven analysis, statistical evaluation, and review of quantitative results, rather than reliance on interviews, process reviews, attestations, or other qualitative assessments.

Our Impact:

The team independently assesses some of the nation's most important and material financial, capital, market, credit, and AI/ML models. Through this work, we help strengthen confidence in the models that support critical business and risk management decisions and advance Freddie Mac's mission of Making Home Possible for Americans.

Your Impact:

In this role, you will be an integral part of model audit projects and will be expected to have the following responsibilities:

Evaluate the conceptual soundness, implementation, use, and performance of market, capital, credit, counterparty, and AI/ML models, including those used for interest rate risk, prepayment, hedging, derivative valuation, stress testing, and economic and regulatory capital management.
Perform model audits and independent quantitative analyses, including testing reported model issues and assessing whether corrective actions address the underlying model and business risks.
Evaluate the quality and effectiveness of second-line model validation and oversight.
Document testing results in work papers, identify model issues where applicable, and communicate model audit conclusions with Quantitative Technical Leads, Directors, and Officers consistent with Internal Audit methodology, policies and procedures.
Participate in audit entrance, status, findings, and exit meetings with senior management, executive stakeholders, other audit teams, and auditees.
Integrate and work collaboratively with business area, IT and AI auditors to enhance assurance over interrelated risks, eliminate siloed thinking, and offer greater insight and foresight to Freddie Mac.

Qualifications:

Master’s degree with at least 3 years of relevant experience, or a Doctorate degree in quantitative finance, economics, statistics or a related quantitative field.
Research, development, validation, or audit experience involving market risk or capital models, including interest rate, prepayment, hedging, derivative valuation, stress testing, or economic and regulatory capital models, is strongly preferred.
Experience as a quantitative analyst or researcher within a trading desk, market risk function, model development team, model validation function, or similar quantitative environment is highly desirable.
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, etc.
Experience with large, complex financial institutions, and/or Big 4 experience with internal/external audit is preferred.
Possession of, or willingness to pursue, professional certifications (e.g., CIA, CPA, CISA, Data Science, AI, Accredited Mortgage Professional (AMP)) is preferred.
Experience using Generative AI to enhance productivity, analyze complex documents or code, or develop analytics and automation.

Keys to Success in this Role:

Strong quantitative reasoning, critical thinking, and intellectual curiosity
Ability to explain complex modeling concepts clearly to technical and nontechnical audiences
Collaborative approach to delivering risk-based audits across multiple projects
Commitment to learning Internal Audit methodology, model governance, AI/ML techniques, and Freddie Mac’s business
Effective use of generative AI, analytics, and automation to improve audit quality and efficiency
Ability to connect technical model concerns to business use, risk, and potential impact.
Willingness and interest to learn how to audit deep learning, generative AI models, consumer, commercial, and counterparty credit risk models.

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.

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 $126,000 - $190,000 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.

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More about this job

Skills

Auditing
Risk management
ML
Statistics
Research
Develop models
Programming languages
Python
R
SQL
Oracle Java
CPA
CISA
Critical thinking
Deep learning

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