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Director, Predictive Modeling, Machine Learning
Credit AcceptanceDirector driving predictive modeling and machine learning for Credit Acceptance. Leading strategic initiatives in credit risk, servicing, and collections with deep technical expertise.
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
Predictive ModelingMachine LearningCredit Risk ModelingStatistical ToolsCloud ArchitectureModel Lifecycle ManagementPythonSQLRSAS
Soft Skills
Influencing Senior StakeholdersMentoring Senior-Level Peers
Certifications
Ph.D.Master’s in Quantitative Discipline