Single-Family Data Intern- Summer 2027

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. 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. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division within Freddie Mac is seeking curious, motivated college students for a summer internship. Interns will gain hands-on experience supporting data analytics, reporting, business processes, and risk management activities while building skills through mentorship, training, and collaboration. This opportunity is ideal for college juniors interested in data analytics, statistical analysis, quantitative problem solving, and emerging technologies, including AI-enabled tools. Our Impact: Single-Family uses data analysis, reporting, and risk management to support business decisions and deliver solutions for customers. We optimize, visualize, and govern data across the data lifecycle while modernizing the Single-Family data ecosystem. We leverage statistical analysis, quantitative modeling, structured rules, and emerging technologies to improve operational effectiveness. Your Impact: Assist product owners, team members, and business partners with gathering requirements, documenting user stories, and clarifying project scope. Support day-to-day operations and projects through data analysis, impact analysis, user acceptance testing, reporting, and other business or technical support activities. Collaborate with teammates, IT partners, and stakeholders to understand business processes, support issue resolution, and test developed solutions. Assist with monthly business process reporting, executive metrics, and data quality controls for completeness and accuracy. Apply classroom knowledge of statistical analysis, quantitative problem solving, and programming tools such as Python, SAS, SQL, or similar technologies to support business insights. Learn how AI-enabled tools and emerging technologies can improve analytical processes, productivity, and decision making. Qualifications: Current college student pursuing a bachelor’s degree in data Analytics, Statistics, Quantitative Analytics, Quantitative Finance, Economics, Data Science, Business Information Technology, Management Information Systems, Computer Science, Information Technology, Mathematics, or a related quantitative discipline. Expected graduation in December 2027 or May 2028, with availability to participate in the Summer 2027 internship program. Coursework, academic projects, or prior internship experience related to statistical analysis, quantitative modeling,…