Remarketing Solutions Analytics - Analyst II
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:
- Duties include assisting in the development and support of complex models, analysis, and reporting related to remarketing pricing and cash flow projections
- Ad hoc research projects incorporating project design, data collection and analysis, summarization of findings
- Support recommendations for operational policies and procedures; ensure team compliance with such policies and procedures
- Provide analytical support for auction optimization and related operational metrics
- Aid with the evaluation of Remarketing Solutions programs for GM Financial off-lease vehicles and GM Certified Pre-Owned programs as it pertains to corporate profitability
- Provide analytical support as needed to evaluate strategic corporate remarketing projects and initiatives as it pertains to corporate profitability
What makes You an ideal candidate?
- Knowledge of finance, statistics, accounting and/or financial services
- Knowledge of financial concepts such as ROA, ROE, IRR and cash flow modeling
- Knowledge with data mining tools such as Access, SAS and SQL
- Knowledge of PC software applications such as Excel, Word and PowerPoint
- Knowledge of auto finance industry
- Working knowledge of dealer and reporting systems
- Understanding of products and related work processes in area of responsibility
- Knowledge of GM Financials core business functions
- Ability to manage multiple tasks and deadlines
- Intermediate skills in SAS, SQL
- Detail oriented
- Critical thinking
- Intermediate time management
- Intermediate analytical skills
- Intermediate quantitative skills
- Ability to ensure data integrity
- Intermediate written and oral skills
- Teamwork
- Demonstrated ability to apply financial and statistical principles
- Captive/OEM experience preferred
- Demonstrated progressive experience in automotive or auto finance role preferred
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 & Education
- 2-3 years of experience in financial analysis, data mining, forecasting and reporting (preferably in automotive finance industry) required
- High School Diploma
- Associate Degree
- Bachelor’s Degree in a related field or equivalent work experience required
- Master’s Degree in Business or related field preferred
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
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