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manager statistical programming jobs near mclean, va

Quantitative Analytics Senior - Internal Audit

Freddie Mac -
McLean, VA

Apply Now

Job Details

Full-time
$126,000 - $190,000 a year

Qualifications

AI models
AI tools proficiency
Generative models
Programming languages
Machine intelligence
Statistical modeling
Generative AI

Full 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 Model Audit team in Internal Audit is seeking a Quantitative Analytics Senior with a broad modeling background to support risk‑based audits across a wide range of financial models, including models that use artificial intelligence and machine learning (AI/ML). This role combines deep technical analysis with practical audit judgment, emphasizing efficiency, innovation, and clear communication of results to senior stakeholders.

Our Impact:

The team provides model risk assurance across material models and artificial Intelligence and machine learning solutions that help Freddie Mac Make Home Possible.

Your Impact:

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

Perform model audits, conduct quantitative analyses, and validate model issues originating from internal or external sources.
Comprehend the mathematics and statistical techniques used for evaluating risk associated with Freddie Mac’s complex models, such as models of default, prepayment, pricing, valuation, derivatives, interest rates, stress testing and counterparties.
Design and execute audit activities assessing governance and controls across the model lifecycle, including data, development, conceptual soundness, implementation, usage, and performance monitoring.
Evaluate second line model validation, oversight and the effectiveness of the enterprise model risk framework.
Document testing results in work papers, identify model issues where applicable, and communicate model audit conclusions with Quant Tech Leads, Managers, 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.

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.
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 using Generative AI to enhance productivity, analyze complex documents or code, or develop analytics and automation.
Strong written and oral presentation skills.
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) is preferred.

Keys to Success in this Role:

Critical‑thinking and quantitative skills
Ability to explain complex concepts clearly, and a collaborative mindset that supports team‑based audit delivery.
Willingness to proactively learn audit methodology, AI/ML techniques, model governance, and Freddie Mac’s business.
Ability to multitask (work on multiple projects concurrently) with effective time management.
Exposure to enterprise‑critical models and senior‑level decision‑makers.

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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