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Prepare to show SQL or Python work on tabular loan data, explain mortgage-backed securities at a basic level, and discuss how Freddie Mac’s weekly average mortgage-rate releases relate to housing demand.
Good fit if you want analytics inside regulated housing finance at a large McLean GSE and enjoy data-heavy mortgage market work.
As a Data Analytics Associate at Freddie Mac in McLean, you would clean and query mortgage and securities datasets, build recurring loan-performance and rate reports, and support risk or finance partners tied to the secondary mortgage market. The role is on-site in Fairfax County.
McLean, Fairfax County, Virginia; it is not listed as remote.
It purchases mortgages, pools them, and sells mortgage-backed securities to support the U.S. secondary mortgage market.
None; no certification family or resources were provided for this role.
Website: freddiemac.com
The Federal Home Loan Mortgage Corporation (FHLMC), commonly known as Freddie Mac, is an American publicly traded, government-sponsored enterprise (GSE), headquartered in McLean, Virginia. The FHLMC was created in 1970 to expand the secondary market for mortgages in the US. Along with its sister organization, the Federal National Mortgage Association, Freddie Mac buys mortgages, pools them, and sells them as a mortgage-backed security (MBS) to private investors on the open market. This secondary mortgage market increases the supply of money available for mortgage lending an…
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Data Analytics Associate at Freddie Mac in Mc Lean, Fairfax County. What This Role Involves The Data Analytics Associate role at Freddie Mac involves leveraging advanced analytics techniques to support business decision-making processes. You will work on projects that help improve the efficiency and effectiveness of our operations by analyzing large datasets, identifying trends, and providing actionable insights. This position requires a strong analytical mindset and the ability to communicate complex data findings in a clear and concise manner. Key Responsibilities Analyze large datasets using statistical models and machine learning techniques. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Collaborate with cross-functional teams to gather requirements, design solutions, and implement data-driven strategies. Ensure data integrity by validating sources and cleaning datasets before analysis. What You Bring To succeed in this role, you should have a strong background in statistics or a related field. A bachelor's degree in a quantitative discipline is required, with a preference for those who hold an advanced degree such as an MBA or M.S. in Data Science. Proficiency in programming languages like Python and R is essential, along with experience using data visualization tools such as Tableau. Strong communication skills are crucial to effectively present findings to stakeholders. About Freddie Mac At Freddie Mac, our mission of Making Home Possible drives everything we do. Since our charter in 1970, we have been committed to making home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose and helps build stronger communities. How to Apply To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there. Please ensure all required fields are filled out accurately and submit your resume and cover letter highlighting relevant experience in data analytics. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
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