Senior Analyst, Predictive Analytics and Machine Learning

The Senior Analyst, Predictive Analytics and Machine Learning designs, develops, and maintains statistical and machine learning models that support high-impact business decisions across pricing, credit risk, and other areas.

This role is a hands‑on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders.

• Outcomes and Activities
• This position will work from home; occasional planned travel to our Southfield, Michigan office may be required.

However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.

• Develop and maintain complex statistical and machine learning models that optimize high-volume, data-driven decisions and deliver measurable business value.
• Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
• Develop complex SQL and analytical code to extract, transform, and validate large, multi-source datasets used for modeling, reporting, and decision support.
• Perform ad hoc and exploratory analyses to address business questions, evaluate trade-offs, and inform policy or strategy decisions.
• Translate high-level business objectives into analytical tasks, technical specifications, and modeling approaches.
• Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.

Requirements

• Bachelor’s degree or higher in a quantitative field (e. g., statistics, mathematics, economics, engineering, computer science, or related discipline).
• 3+ years of experience applying analytical and programming skills in a business or research environment.
• Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
• Strong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems.
• Expertise in extracting, manipulating, and analyzing large‑scale datasets.
• Preferred
• Advanced proficiency in Python, SQL, and statistical tools (e. g., R, SAS).
• Experience developing or supporting predictive models such as credit scorecards, pricing models, or collections strategies.
• Experience in financial services analytics or a related regulated, data‑intensive industry.
• Familiarity with model performance monitoring, validation concepts, and production analytics.

Benefits

• Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical, dental, vision and many nonstandard benefits that make us a Great Place to Work.

Expectations

• Remain compliant with our policies processes and legal guidelines.
• All other duties as assigned.
• Attendance as required by department.

Targeted Compensation

$128,000 - $165,000 base salary + an annual bonus plan

This position is not currently open to individuals who require sponsorship now or in the future to work legally for Credit Acceptance, such as H-1b / H-4 or F-1 OPT visa holders.

California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.

Credit Acceptance is dedicated to providing a safe and inclusive working environment for all.

As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce.

All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.

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