Intern - Accounting

GM Financial•Fort Worth, TX

11d•Hybrid

About The Position

GM Financial is the wholly owned captive finance subsidiary of General Motors and is headquartered in Fort Worth, U.S. We are a global provider of auto finance solutions, with operations in North America, South America, and the Asia Pacific region. Through our long-standing relationships with auto dealers, we offer attractive retail financing and lease programs to meet the needs of each customer. We also offer commercial lending products to dealers to help them finance and grow their businesses. At GM Financial, our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work — we thrive. Our Purpose: We pioneer the innovations that move and connect people to what matters.

Requirements

Must be a current student pursuing a Bachelor’s degree or higher from an accredited college or university in Accounting, Finance, Management Information Systems or related field.
Must possess a minimum of a 3.0 (out of a 4 point scale) overall GPA.
Strong written and verbal communication skills required. This incumbent will be required to give presentations and communicate with business leaders.
Strong analytical, quantitative, problem solving and conceptual skills required.
Must be detail oriented and able to prioritize tasks to meet deadlines.
Must be able to work independently or in a team setting.

Nice To Haves

Junior or Senior classification preferred.
Previous internships considered a plus.

Responsibilities

Must be able to commit to work 40 hours for 11 consecutive weeks during the summer (5/26/2027-8/6/2027)
Must participate in all GMF sponsored events for interns.
Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
Skills in evaluating AI outputs for accuracy, compliance, and bias
Experience integrating AI into workflows to improve efficiency or insights
Familiarity with AI assisted research, summarization, and content generation
Understanding of responsible AI use, including ethics and data protection