Quantitative Analytics Manager (Hybrid - 3 Days in Office - VA)

veloping underwriting and credit scoring models that involve data analytics and data science projects.

Your Impact:

• This position will act as the subject matter expert (SME) in Credit Bureau data, Consumer Credit Reports, and the different versions of Credit Scores.

• Familiar with raw credit in-files and data reported to Credit Bureau, and how these data feed into credit scoring.

• Lead modeling and analytical underwriting and credit risk projects using techniques from statistics, machine learning and deep learning.

• Conduct analytics and mentor junior staff in obtaining quantitative insight into mortgage underwriting issues and questions.

• Develop innovative approaches to applying mortgage, credit bureau, customer permission data and other third-party data for credit risk evaluation.

• Provide modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.

• Create and present materials to effectively communicate quantitative findings.

• Write documentation to explain analytical decisions and follow model oversight.

• Make efficient use of the latest computing technologies to take advantage of big data and efficiently conduct analyses.

• Perform exploratory analysis and research and present results to both technical and non-technical audiences.

• Visualize data and analytical results to communicate complex ideas.

Qualifications:

• College Degree or equivalent experience; advanced studies/degree preferred

• Typically has 8-10 years related experience and 2+ years management experience

• 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:

• Exceptional quantitative and analytics skills

• Strong knowledge of statistical models, tools and techniques

• Strong programming skills

• Effective interpersonal skills including the ability to collaborate successfully with other team members.

• Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.

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 https://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 $140,000 - $210,000 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.