Job description

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! This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization’s analytics capabilities. Outcome 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. 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) Requirements: Bachelor s in a quantitative field 8 years of experience in predictive modeling and analytics 6 years of experience applying ML in production environments Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS) Experience with cloud platforms and MLOps tools Thought leader with strong communication and stakeholder management skills Preferred: Master’s or Ph.D. in a quantitative field Experience in consumer lending Experience with model governance, explainability, and responsible AI Targeted Compensation: $ 184,354 – $270,386 base salary 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. #LI-Remote #zip 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 Our Company Values: 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 To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice ! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S . We have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why – let’s talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. 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. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Requirements

Must-haves

Outcome and Activities
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 in a quantitative field
8 years of experience in predictive modeling and analytics
6 years of experience applying ML in production environments
Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
Experience with cloud platforms and MLOps tools
Thought leader with strong communication and stakeholder management skills
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

Nice-to-haves

Master’s or Ph.D. in a quantitative field
Experience in consumer lending
Experience with model governance, explainability, and responsible AI
Targeted Compensation: $ 184,354 – $270,386 base salary 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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonsqlai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave

Professional Development