Director, Predictive Modeling and Machine Learning
Credit Acceptance · United States · 2 wk ago
RemoteRemoteEngineering$251k–$292k/yrFull-time
Requirements
- 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
Qualifications
- Preferred: 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.)
Skills
- Strategic thinking and problem-solving skills
- Excellent communication and collaboration skills
- Ability to influence senior stakeholders
- Strong analytical and technical skills
Pay
Target Compensation: $250,513 - $292,265 base salary + annual bonus
Schedule
Not specified
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
About the Role
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.
Responsibilities
- 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