Manager, Predictive Modeling and Machine Learning

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.

• This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.

• Lead the design and deployment of predictive models for credit risk, collections, and operations.
• Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP).
• Mentor and support junior and peer-level data scientists.
• Promote adoption of modern data science tools and platforms.
• Present insights to senior and cross-functional stakeholders.
• Drive experimentation with emerging techniques (e.g., causal inference, GenAI).

• Bachelor's degree in a quantitative discipline.
• 5+ years of experience in predictive modeling and analytics.
• 5+ years of experience applying ML in production environments.
• Demonstrated leadership in cross-functional initiatives.
• Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
• Strong communication and stakeholder management skills.

• Ph.D or Master's in quantitative discipline.
• Experience with model governance, explainability, and responsible AI.
• Experience in consumer lending.

To be successful in this role, Team Members need to be:

• Positive by maintaining resiliency and focusing on solutions
• Respectful by collaborating and actively listening
• Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
• Direct by effectively communicating and conveying courage
• Earnest by taking accountability, applying feedback and effectively planning and priority setting

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