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:
Are you excited by the opportunity to make an impact and work in a dynamic agile environment? If yes, please apply to the Model Risk & Controls Quantitative Technical Lead role and work in conjunction with Single-Family business leaders to effectively evaluate model risk and test model and data controls owned by the Single-Family. Apply now and learn why there’s #MoreAtFreddieMac!
Our Impact:
The Single-Family Acquisitions Operational and Models Controls Testing Team is responsible for working with management to evaluate and test operational controls including model and data controls owned by Single-Family.
Your Impact:
The Model Risk & Controls Quantitative Tech Lead within SFA serves as a technical expert for model and data risk assessment and controls testing. The Quant Tech Lead helps design and implement procedures to analyze and evaluate governance over model use, model development, and model risk oversight. The Tech Lead is responsible for evaluating risk associated with the division’s models such as models of credit, collateral, decisioning and house price. The Tech Lead is responsible for demonstrating thought leadership and critical thinking/effective challenge over quantitative aspects of the models being evaluated.
Draft and propose detailed test procedures to critically assess model development, validation, performance, implementation, use and model governance controls with limited direct supervision or revisions.
Work with SFA model owners, developers, and data engineering on Significant Model Input governance, ongoing monitoring, and testing responsibilities.
Demonstrate thought leadership and critical thinking/effective challenge over quantitative aspects of the models tested.
Critically review audit work-papers from internal and consultant teams.
Identify and refine potential issues, when applicable.
Clearly communicate technical issues to a technical and non-technical audience, including Sr. Managers, Directors, Officers, and leadership.
Demonstrate expert knowledge of model controls testing and maintain high quality.
The Tech Lead is responsible to demonstrate strong project management skills.
Qualifications:
Doctorate degree (or Master's degree with equivalent work experience) in Statistics, Economics, Quantitative Finance, Data Science or a related quantitative field.
5+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
3+ years of relevant experience on leading model development, model review or fair lending projects.
Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
Experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include—but are not limited to—Python, R, SQL, and SAS.
Experience using and manipulating large structured databases.
Experience with mortgage industry data in general and consumer credit bureau data specifically from Experian, Equifax, and Trans Union is desired.
Keys to Success in this Role:
Have strong quantitative modeling skills in economics, statistics, mathematics, finance, or data science.
Demonstrate expert knowledge of FHFA’s Model Risk Advisory Bulletin, Freddie Mac’s Model Policy, Model Risk Standards, Divisional Model Procedures and other relevant policies, standards, and regulatory guidelines.
Have good understanding of risk assessment, controls testing, data analysis including data quality attributes, mortgage industry, GSE business.
Communicate effectively with clients and ability to influence a room.
Able to lead junior staff during projects to deliver high quality model and data controls testing.
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 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 $143,000 - $215,000 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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