Risk Management Graduate Intern – Quantitative Summer 2027

At Freddie Mac our mission of Making Home Possible is what motivates us and its 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.

We are accepting applications for this position until 10/16/2026

At Freddie Mac you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation. Our internship and graduate programs provide opportunities to tackle complex challenges contribute to strategic initiatives and build valuable relationships with industry professionals.

As a Quantitative Risk Management Intern within Enterprise Risk Management (ERM) you will apply advanced analytical technical and quantitative skills to support risk management activities at one of the nations largest financial institutions. You will gain hands-on experience working on real-world projects collaborating across teams and leveraging emerging technologies including artificial intelligence and automationto enhance risk management practices and business outcomes.

Enterprise Risk Management (ERM) helps build and maintain a strong effective and efficient risk management framework across Freddie Mac. We provide independent oversight and assessment of financial and non-financial risks while promoting a culture of accountability innovation and sound risk management.

Our quantitative teams leverage advanced analytics data science modeling automation and emerging technologies to support enterprise-wide decision-making and risk oversight. As AI and automation continue to transform the financial services industry our teams play a critical role in helping Freddie Mac navigate evolving risks while identifying opportunities for efficiency and

Project Support

As an intern you will support projects that contribute to Enterprise Risk priorities which may include:

• Execute quantitative and analytical projects while ensuring timely delivery adherence to objectives and effective management of project scope.
• Develop evaluate and utilize quantitative models and analytical tools to support assessment of market credit operational and emerging risks.
• Collaborate with risk business and technology teams to solve complex problems and drive data-driven decision-making.
• Support model development validation monitoring and evaluation activities across various risk disciplines.
• Apply programming data analysis and automation techniques to improve efficiency and enhance quantitative processes.
• Analyze large and complex datasets to identify trends assess risk exposure and support strategic initiatives.
• Partner with stakeholders across the organization and serve as a point of contact for project-related activities and information gathering.
• Contribute to initiatives involving AI automation cloud technologies and advanced analytics.
• Support process improvement efforts documentation reporting and governance activities.

Professional Development

Participation in the program will support your continued growth through targeted training mentorship and exposure to senior leadership. You will:

• Gain exposure to Freddie Macs standards processes risk frameworks and governance structures.
• Strengthen your quantitative analytical technical and leadership capabilities.
• Build relationships across ERM and the broader Freddie Mac organization
• Learn how quantitative risk management supports enterprise decision-making and business strategy.
• Develop a deeper understanding of AI applications automation and risk analytics within the financial services industry.

• Enrolled in a full-time graduate degree program in Data Analytics Computer Science Applied Mathematics Statistics Financial Engineering Econometrics Quantitative Finance Artificial Intelligence Machine Learning Economics or a related quantitative field.
• One to three years of professional work experience.
• Expected graduation date of December 2027 or May 2028.

• Strong programming experience in Python Java C SQL or similar languages.
• Experience working with large datasets and performing complex quantitative analysis.
• Familiarity with cloud computing platforms and modern data technologies.
• Knowledge of AI machine learning automation data validation or advanced analytics techniques
• Experience with financial modeling risk modeling econometrics statistics or related quantitative disciplines.
• Proficiency with Microsoft Office applications including Excel and PowerPoint.
• Experience with Tableau MicroStrategy Power BI or other data visualization tools is a plus.
• Exposure to banking financial services risk management or consulting environments is beneficial.

• Strong critical-thinking and analytical problem-solving abilities
• Curiosity and willingness to ask thoughtful questions to deepen business understanding.
• Excellent written verbal and interpersonal communication skills.
• Ability to collaborate effectively across teams and build strong professional relationships.
• Execution focus personal accountability and strong organizational skills.
• Ability to manage multiple priorities deliver results and maintain project focus under changing conditions.
• Adaptability and comfort working through ambiguity while developing innovative solutions.
• Interest in leveraging AI and automation to improve efficiency and business outcomes while understanding the limitations of emerging technologies.
• A proactive mindset and passion for continuous learning and improvement.

Graduate Interns are paid at a set non-negotiable hourly hourly rate for this role is $40/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 Macs 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.

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.