Director, Predictive Modeling & ML Strategy

creditacceptance; United States; On-site; USD 206,000 - 301,000; Full time

Benefits offered by this job

401(K) match

Adoption assistance

Parental leave

Tuition reimbursement

Comprehensive medical/dental/vision

Job summary

Credit Acceptance seeks a senior Director of Predictive Analytics to define and drive the modeling strategy across credit risk, servicing, and collections. This individual will blend deep technical expertise with business acumen while influencing cross-functional teams and guiding data-driven decisions at the highest levels.

The role emphasizes building and deploying high-impact models, mentoring peers, and representing analytics in governance forums.

Qualifications

• Bachelor’s in a quantitative discipline required.
• 10+ years in predictive modeling and ML.
• 6+ years 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.

Responsibilities

• Define and execute the strategic roadmap for predictive modeling and ML.
• 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.

Skills

Predictive modeling

Machine learning

Stakeholder influence

Regulatory compliance

Education

Bachelor’s in quantitative discipline

PhD or Master’s preferred

Tools

Python

SQL

R

SAS

AWS/Azure/GCP

Job description

Credit Acceptance seeks a senior Director of Predictive Analytics to define and drive the modeling strategy across credit risk, servicing, and collections. This individual will blend deep technical expertise with business acumen while influencing cross-functional teams and guiding data-driven decisions at the highest levels.

The role emphasizes building and deploying high-impact models, mentoring peers, and representing analytics in governance forums.