Job Description

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.

About the role:

In this role, you will analyze financial information, trends, and forecasts to support strategic business decisions. You will develop complex models, reporting, and analytics to provide P&L insights, support various projects, and prepare ad hoc analysis for management.

In this role you will:

• Analyze financial information, including trends and forecasts.
• Perform detailed data analytics to extract and allocate sub-ledger financial transactions
• Develop, evaluate, and monitor complex models and reporting.
• Create models and analytics to enable P&L views for products and various projects.
• Prepare ad hoc analysis for management.
• Perform time studies as needed

What makes You an ideal candidate?

• Ability to develop skillset of financial analysis software (i.e., Oracle EPM, Oracle EBS, Cognos).
• Introductory knowledge of financial models and tools such as NPV, IRR, etc.
• Maintain working knowledge of data/information sources.
• Knowledge of data analytics and programming languages such as SQL and Python
• Understanding of common database structures and querying strategies
• Exposure to modern data platforms such as Databricks
• Strong working knowledge of MS Office (Excel, PowerPoint, Word, Access) or like products. Ability to effectively translate knowledge into feasible strategies, policies and processes.
• Highly organized and detail-oriented.
• Ability to manage projects.
• Ability to read and interpret financial documents.
• Ability to use historical trends to develop dynamic models.
• Ability to work well with all levels of management.
• Analytical and quantitative skills.
• Demonstrated leadership skills.
• Good excel skills (i.e., recording and debugging macros, charting, pivot tables).
• Good presentation and business writing skills.
• Good validation skills

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

Normal office environment.
Flexible schedule with possibility of working long hours.

Work Experience & Education

• 0-2 years of prior experience in data analytics, forecasting, cost analytics, and P&L Reporting preferred
• High School Diploma
• Associate Degree
• Bachelor’s Degree in related field or equivalent work experience experience; in Finance, Accounting or similar field required
• Master’s Degree

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

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 and bonus eligibility.

Work Life Balance: Flexible hybrid work environment, 2-days a week in office.

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions