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, data analytics, programming, or data-driven problem solving is preferred.
- Exposure to AI tools, Microsoft AI-enabled productivity solutions, or an interest in learning how emerging technologies can support business outcomes is preferred.
Keys to Success in this Role:- Strong written and verbal communication skills, including the ability to organize thoughts clearly and explain analytical findings in a simple, effective way.
- Foundational knowledge of statistical analysis, quantitative problem solving, and data-driven methodologies gained through coursework, projects, or related experience.
- Familiarity with Microsoft Office tools and an interest in learning how AI-enabled productivity tools can support analysis, collaboration, and decision making.
- Curiosity, initiative, and eagerness to learn how data, technology, and business processes support Freddie Mac's mission.
- Strong interpersonal skills and a collaborative mindset when working with teammates, business partners, and stakeholders.
Interns are paid a set, non-negotiable rate. The hourly rate for this position is $32/hr.Current Freddie Mac employees please apply through the internal career site.We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals 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.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
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 and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Non-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 $54,000 - $82,000 . All interns positions are paid at an hourly rate, which can be found in the body of the job description.
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