Quantitative Risk Management Intern – AI & Data Analytics

Freddie Mac; McLean (VA); On-site; USD 64,000 - 83,000; Full time

Job summary

Freddie Mac invites graduate students to join our Quantitative Risk Management Intern program within Enterprise Risk Management. You will apply advanced analytics to support risk management and gain hands-on experience across teams while exploring AI and automation technologies.

You will work on projects involving model development, validation, and data-driven decision making, with mentorship and exposure to senior leadership.

Qualifications

• Enrolled in a full-time graduate degree in a quantitative field.
• 1–3 years of professional work experience.
• Expected graduation December 2027 or May 2028.

Responsibilities

• Execute quantitative and analytical projects with timely delivery and clear objectives.
• Develop, evaluate, and use quantitative models for market, credit, and operational risk.
• Collaborate with risk, business, and technology teams to drive data-driven decisions.
• Support model development, validation, monitoring, and evaluation across risk areas.
• Apply programming and automation to improve quantitative processes.
• Analyze large datasets to identify trends and assess risk exposure.
• Partner with stakeholders and gather information for projects.
• Contribute to AI, automation, cloud tech, and advanced analytics initiatives.
• Assist in process improvement, documentation, reporting, and governance.

Skills

Python

Java

C++

SQL

Education

Graduate degree program in Data Analytics, Computer Science, Applied Mathematics, Statistics, Financial Engineering, Econometrics, Quantitative Finance, AI/ML

Tools

Tableau

Power BI

MicroStrategy

Job description

Freddie Mac invites graduate students to join our Quantitative Risk Management Intern program within Enterprise Risk Management. You will apply advanced analytics to support risk management and gain hands-on experience across teams while exploring AI and automation technologies.

You will work on projects involving model development, validation, and data-driven decision making, with mentorship and exposure to senior leadership.