Why GM Financial?
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 new 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.
This position will be posted until filled.
ResponsibilitiesAbout this role:
Our Tech Innovation Lab is seeking interns with a passion for technology innovations in the financial sector. Ideal candidates should be pursuing a degree in Computer Science, Engineering, or a related field, with an interest in technologies like AI, Machine Learning, Big Data Analytics, and Server less computing. While technical skills are important, we also value creative thinking and the ability to approach problems from different angles. Basic programming skills in languages such as Python, JavaScript, .NET or Java are expected. The intern will be involved in research and development projects focusing on the application of these technologies in the financial industry, assisting in the development and prototyping of new solutions, and contributing to the lab’s initiatives in implementing advanced tech solutions to address financial challenges. A keen interest in financial technologies and a willingness to engage with emerging tech trends are crucial for this role.
In this role you will:
- Assist in evaluating, researching, experimenting with computational learning technologies in a lab to keep pace with industry innovation while assessing business impact and viability for use cases associated with efforts in hand.
- Collaborate with statisticians, data engineers, application developers, and related groups to inform on and highlight capabilities of emerging technologies and to enable the adoption of these modern technologies, computational learning, and associated algorithms.
- Work closely with statisticians, data engineers, application developers, other IT counterparts, and business partners to develop, integrate and deploy computational learning as part of applications.
What makes You an ideal candidate?
- Junior or Senior classification preferred.
- Basic programming skills in languages such as Python, JavaScript, .NET or Java are expected.
- Interest in technologies like AI, Machine Learning, Big Data Analytics, and Server less computing.
- 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.
Additional Knowledge and Skills
Working effectively within an AI enabled environment:
- 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
Work Experience and Education
- Must be a current student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Engineering, or a related field with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) overall GPA.
- Previous internships are considered a plus.
Our program offers
- 11 weeks of work experience (May 26th - August 6th)
- Executive and peer networking opportunities
- Independent and team project experiences
- Philanthropic activities
- Career development
- Opportunity to apply for full-time career positions
Our Culture: 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.
Compensation: Competitive pay
Work Life Balance: Flexible hybrid work environment, 2-days a week in office
GM Financial does not provide sponsorship for a work visa status for this position.
#GMFJobs #LI-Hybrid #LI-NY1
Skills Required
- Current enrollment in a bachelor's degree or higher program in Computer Science, Engineering, or a related field
- At least one semester remaining upon the start of the internship
- Minimum overall GPA of 3.0 on a 4.0 scale
- Basic programming skills in Python, JavaScript, .NET, or Java
- Interest in artificial intelligence, machine learning, big data analytics, and serverless computing
- Strong written and verbal communication skills, including the ability to present to business leaders
- Strong analytical, quantitative, problem-solving, and conceptual skills
- Detail orientation and ability to prioritize tasks and meet deadlines
- Ability to work independently and in a team setting
- Ability to use AI tools such as Microsoft Copilot
- Ability to evaluate AI outputs for accuracy, compliance, and bias
- Understanding of responsible AI use, ethics, and data protection
- Junior or senior academic classification
- Previous internship experience
GM Financial Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GM Financial and has not been reviewed or approved by GM Financial.
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Strong & Reliable Incentives — Annual and performance bonuses are described as meaningful additions to total compensation. In several functions, incentives reliably boost take-home pay when available.
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Leave & Time Off Breadth — Generous paid time off, corporate and floating holidays, and paid volunteer time are emphasized. Time-away programs contribute significantly to perceived total rewards.
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Parental & Family Support — Paid parental leave and family-friendly policies are highlighted, with recent expansions mentioned in some areas. Support for bonding time is seen as a notable strength of the package.
GM Financial Insights
What We Do
GM Financial is the captive finance company and the wholly owned subsidiary of General Motors and is headquartered in Fort Worth, Texas. The company is a global provider of auto finance solutions, with operations in North America, Latin America and China. Through our long-standing relationships with auto dealers, we offer attractive retail loan 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. GM Financial employs more than 9,000 hard-working team members, and we're always looking for new people with diverse talents. GM Financial is a workplace where dedicated people have the opportunity to work together and celebrate our successes. Our culture is based on respect, integrity, innovation and personal development. GM Financial is committed to strengthening the communities where we live and work. Each year, we select several philanthropic organizations to support through our Signature Events program. The company and its team members actively support these organizations through many company-wide initiatives; in addition we support numerous other nonprofit organizations through sponsorships and monetary donations.
