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:

As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems. You will apply statistical and machine learning techniques to build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio. You will make efficient use of distributed computing technologies and state of art modeling algorithms with the latest structured and unstructured big data available.

Our Impact:

Our team build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac’s portfolio and help the company to make intelligent business decisions for risk management.

Your Impact:

Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products. Conducting research on enhancements to the existing models, and applying industry best practices and techniques to meet various business needs.

Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.

Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.

Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.

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

Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.

Working under limited direction, independently resolving and developing approach to solutions.

Qualifications:

Doctorate degree,  or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field

Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or 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, or Monte Carlo methods

Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB

Proficiency in programming languages such as SAS, Python, SQL or Unix

Experience working with large data sets and relational database

Experience in statistical model development and implementation is preferred

Experience with software development and system setup for model application is preferred

Experience with text mining and image analytics is a plus

Keys to Success in this Role:

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

Solid oral and written communication skills. Ability to pitch and storyboard a project.

Exceptional quantitative, empirical analysis, and research skills

Positive and independent thinking

Strong hands-on ability to handle and process large quantity of structured and unstructured data

Strong desire and ability to learn new big data and machine learning technologies.

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 $114,000 - $170,000 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.