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About the Role
The Manager of Predictive Modeling & Machine Learning will lead the development and deployment of statistical and machine learning models that drive strategic decision-making across credit risk, collections, and business operations. This role combines expertise in traditional predictive modeling with modern ML techniques and MLOps practices. The ideal candidate will be an expert-level hands-on modeler with strong technical skills and business acumen.
Responsibilities
- 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 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 (Preferred).
- Experience with model governance, explainability, and responsible AI (Preferred).
- Experience in consumer lending (Preferred).
Skills
- Python
- SQL
- R
- SAS
- Predictive Modeling
- Machine Learning
- MLOps
- Ensemble Models
- Deep Learning
- NLP
- Causal Inference
- GenAI
- Model Governance
- Explainability
- Responsible AI
Location
- Southfield, Michigan
- Remote
Work Type
- Work from home
- Hybrid
Experience Level
- 5+ years of experience in predictive modeling and analytics
- 5+ years of experience applying ML in production environments
Education Level
- Bachelor's degree in a quantitative discipline
- Master's degree in quantitative discipline (Preferred)
- Ph.D in quantitative discipline (Preferred)
Salary/Compensations
- $158,000 - $170,000 base salary + annual bonus plan
Benefits
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/ dental/vision
- Many nonstandard benefits
- Company provided technology packages
- Competitive market-based salary with bonus compensation
- Quarterly profit sharing
- Annual merit bonuses
- Generous PTO and holidays (27.5 total days during first full year of employment)
About the Company
- 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!
- Credit Acceptance is dedicated to providing a safe and inclusive working environment for all.
- At Credit Acceptance, we celebrate what makes each of us unique.
- We want every Team Member to feel comfortable bringing their authentic self to work — because diverse perspectives make us stronger.
- Our inclusive culture and flexible opportunities help each person find the right balance between work and life, in a way that fits them best.
Equal Opportunity
- 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.