Quantitative Analytics Senior – Internal Audit (Hybrid – 3 Days in Office)

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:

The Model Audit team in Internal Audit is seeking a Quantitative Analytics Senior who has a diverse skills to be able to conduct audit projects in various modeling areas. Model audits are risk-based and require in-depth knowledge of model methodology and limitations. Moreover, a corporate emphasis on efficiency has put a premium on finding new ways to analyze the data and assess models in less time. Work is evaluated upon completion for adequacy in satisfying objectives. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

The team is primarily responsible for providing model risk assurance across all material models and model-processes used at Freddie Mac. Models at Freddie Mac help 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:

• Performs model audits, reviews or conducts analytics, and validates model issues from internal or external sources.
• Comprehends 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.
• Designs and implements audit activities to analyze and test governance and controls over model data, development, conceptual soundness, implementation, performance monitoring, validations, second line oversight and the model risk framework.
• Documents testing results in work papers, identify model issues, communicate model audit conclusion with Tech Leads, Managers, Directors, and Officers consistent with Internal Audit methodology and policies and procedures.
• Participates in audit entrance meetings, status meetings, potential findings discussions, and exit meetings with senior management or executive levels, other internal audit teams, and auditees.

Qualifications:

• Doctorate degree (or Master’s degree with 3 years relevant work experience) 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—Java, Python, R, SQL, Java, SAS, and MATLAB.
• Strong written and oral presentation skills.
• Willingness to learn and obtain a certification in data science and artificial intelligence.
• Experience with large, complex financial institutions, and/or Big 4 experience with internal/external audit is preferred.
• Possession or willingness to pursue certifications in Internal Audit (CIA, CPA, CISA) is preferred.

Keys to Success in this Role:

• Critical thinking skills.
• Strong quantitative modeling skills in economics, statistics, mathematics, quantitative finance, or other quantitative fields.
• Proactively learns audit methodology, AI/ML techniques, model governance, and Freddie Mac’s business.
• Proactively seeks to support other team members.
• Developing good communication skills (verbal and written) to explain and document control or substantive testing results.
• Develops and maintains a trusting environment that encourages collaboration, inclusivity, and valuing all perspectives.
• Develops ability to multitask (work on multiple projects concurrently) with effective time management.

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.

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 $125,000 – $187,000 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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