Director, Predictive Modeling and Machine Learning

Credit Acceptance; United States; On-site; USD 250,513 - 292,265; Full time

Benefits offered by this job

401(k) match

Adoption assistance

Parental leave

Tuition reimbursement

Comprehensive medical/dental/vision benefits

Job summary

Credit Acceptance is looking for a seasoned professional in predictive analytics to drive our strategic roadmap. You'll lead initiatives that integrate analytics into our business processes and act as a strategic advisor to senior leadership.

The ideal candidate will possess a Bachelor's degree in a quantitative discipline, over 10 years of experience in predictive modeling, and strong proficiency in Python and SQL. We offer an excellent benefits package that includes a 401(k) match and comprehensive medical coverage.

Qualifications

• 10+ years of experience in predictive modeling and machine learning.
• 6+ years leading strategic initiatives or mentoring senior peers.
• Deep expertise in credit risk modeling and ML techniques.

Responsibilities

• Define and execute strategic roadmap for predictive modeling.
• Lead initiatives integrating analytics into business processes.
• Oversee model development, deployment, and monitoring.

Skills

Predictive modeling

Machine learning

Python

SQL

Statistical tools (R, SAS)

Cloud architecture

Influencing stakeholders

Education

Bachelor's in a quantitative discipline

Ph.D. or Master's in a quantitative discipline

Tools

AWS

Azure

GCP

MLOps tools (MLflow, Kubeflow)

Job description

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

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 (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

• 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.)

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.

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

Equal Opportunity Employer

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.