Director, Predictive Modeling and Machine Learning

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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. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! The Director is a strategic, senior-level individual contributor who defines and drives the modeling strategy across credit risk, servicing, and collections. This role combines deep technical expertise with business acumen and cross-functional influence. While not initially a people manager, the Director may lead initiatives and mentor others, with potential to transition into formal leadership. Outcomes and Activities 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 Requirement: Ph.D. or Master'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 Preferred: Experience in auto finance or consumer lending Expertise with cloud platforms (AWS, Azure, GCP, etc.) and MLOps tools (MLflow, Kubeflow, etc.) Target Compensation: $250,513 - $292,265 base salary + annual bonus 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. #LI-Remote #zip

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