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:
Specialist in Collections Analytics – Responsible for driving credit recovery performance through the application of advanced analytics, statistical modeling, machine learning techniques, and data-driven strategies. This role leverages large and complex datasets to generate actionable insights, optimize collections processes, improve customer segmentation, and support the development of effective recovery strategies. The Specialist partners closely with Collections Operations, Credit Strategy, and Business Intelligence teams to identify opportunities, measure performance, and influence business decisions through data. Additionally, the role is accountable for developing predictive and optimization models, monitoring their effectiveness, designing experiments to evaluate strategy outcomes, and delivering recommendations that enhance operational efficiency, portfolio performance, and overall recovery results. Through a combination of analytical expertise, business acumen, and technological capabilities, the Specialist plays a key role in transforming data into measurable business value and continuous improvement across the collections function.
In this role you will:
- Develop research, analysis, and recommendations to support the Collections operations;
- Structure and maintain datasets of the Collections area;
- Create reports and controls of KPIs to support the credit recovery operations;
- Develop and implement segmentation, predictive, and optimization models
- Measure and monitor the impact of models and strategies deployed
- Structure, execute and analyze experiments (A/B tests, RCT)
- Present analysis and recommendations to support decision making
- Lead and participate in data & analytics projects in the area
What makes You an ideal candidate?
- Experience working with systems, databases, data warehouses, extracting and manipulating data (Required)
- Proficient in quantitative analysis, variable transformation, statistical modeling and Machine Learning (Required)
- Proficient in testing and validating models, as well as implementation and monitoring of performance (Required)
- Competence in data visualization and communication of results (Required)
- Strong technical base in statistics and computer programming
- Degree in areas: Statistics, Mathematics, Engineering, Computer Science, or related.
- Minimum of 2 years of experience in áreas such as MIS\Credit Strategy, or Business Intelligence (BI) in financial service industry
- Python and SQL – Advanced (Required)
- SAS and R – Advanced (Preferred)
- Excel – Advanced (Required)
- PowerBI – Advanced (Preferred)
- Experience in Portfolio modeling and segmentation (Preferred)
- English – Advanced (Required)
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
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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
GM Financial is an Equal Opportunity Employer. We do not discriminate against any applicant or employee based on race, color, age, gender, marital status, national origin, religion, sexual orientation, gender identity, gender expression, veteran status, disability, or any other that undermines human dignity and aims to nullify or impair people´s rights and freedoms.
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