Audit Analytics Intern - AI & Data Focus (Summer 2027)

Freddie Mac; McLean (VA); On-site; USD 54,000 - 82,000; Full time

Job summary

Freddie Mac interns in Internal Audit join a dynamic team that blends business, technology, data analytics, and risk management to strengthen controls and improve processes.

As an Intern, you will gain exposure to real-world challenges, work across disciplines, and contribute to automation efforts with a focus on AI and analytics. This paid internship offers hands-on learning aligned with your December 2027–May 2028 graduation timeline.

Qualifications

• Pursuing a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Management, Accounting, Finance, MIS, Business Administration, or related field.
• Expected graduation date of December 2027 – May 2028.
• Interest in data analytics, AI, automation, risk management, or auditing.

Responsibilities

• Support high-impact audit engagements evaluating key business processes, risks, controls, and initiatives across Freddie Mac.
• Utilize data analytics, AI tools, and automation to improve audit effectiveness and efficiency.
• Analyze data to identify trends, risks, and opportunities for process improvement.
• Collaborate with audit professionals across multiple disciplines including business, technology, quantitative risk, and operational audit teams.
• Develop understanding of data-rich environments and how technology supports risk management.

Skills

Python

SQL

Power BI

Education

Pursuing Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Administration or related field

Tools

Power BI

Job description

Freddie Mac interns in Internal Audit join a dynamic team that blends business, technology, data analytics, and risk management to strengthen controls and improve processes.

As an Intern, you will gain exposure to real-world challenges, work across disciplines, and contribute to automation efforts with a focus on AI and analytics. This paid internship offers hands-on learning aligned with your December 2027–May 2028 graduation timeline.