Position Overview:

Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges? Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Professional who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities. Apply now and learn why there’s #MoreAtFreddieMac!

 

Our Impact:

• Our team is responsible for fair lending testing of Freddie Mac models and systems.

• We apply modeling and statistical technologies to ensure Freddie Mac models are fair.

 

Your Impact:

• Use techniques from statistics, machine learning and deep learning to conduct fair lending analysis of internal models and decision tools.

• Write documentation to explain analytical decisions and comply with model oversight.

• Write programs to clean, coordinate and analyze large volumes of data.

• 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 to communicate complex ideas.

 

Qualifications:

• Master's degree in quantitative finance, statistics or a related quantitative field.

• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets.  Qualifying coursework may include--but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.

• 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, SAS, and MATLAB.

 

Keys to Success in this Role:

• 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.

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 $97,000 - $145,000 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.