Quantitative Analytics Senior - Internal Audit (Hybrid - 3 Days in Office)
Freddie MacAbout the role
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 abilities 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, C++, Python, R, SQL, SAS.
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.
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