Director, 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.

• Define and execute the strategic roadmap for predictive modeling and machine learning
• Lead cross-functional initiatives integrating analytics into business processes
• Oversee development, deployment, and monitoring of high-impact models
• Serve as a strategic advisor to senior leadership on data strategy and innovation
• Represent Predictive Analytics in regulatory, audit, and governance forums
• Foster partnerships across the organization

• Bachelor's in a quantitative discipline
• 10+ years of experience in predictive modeling and machine learning
• 6+ years of experience leading strategic initiatives or mentoring senior-level peers
• Deep expertise in credit risk modeling and ML techniques
• Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
• Strong understanding of cloud architecture and model lifecycle management
• Proven ability to influence senior stakeholders
• Experience with regulatory compliance in financial services

• Ph.D. or Master’s in a quantitative discipline
• Experience in auto finance or consumer lending
• Expertise with cloud platforms (AWS, Azure, GCP, etc.) and MLOps tools (MLflow, Kubeflow, etc.)

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