Director, Predictive Modeling & ML Strategy

Credit Acceptance Corporation

United States

On-site

USD 250,513 - 292,265

Full time

14 days+

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Benefits offered by this job

401(K) match
Tuition reimbursement
Comprehensive medical, dental, vision
Adoption assistance
Parental leave

Job summary

Credit Acceptance Corporation is seeking a Director who will define and execute the modeling strategy across credit risk, servicing, and collections. This strategic role involves overseeing predictive modeling and machine learning, leading cross-functional initiatives, and advising senior leadership.

The ideal candidate will have extensive experience in credit risk modeling and deep knowledge of analytics. An excellent benefits package and a supportive work culture are provided.

Qualifications

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

Responsibilities

  • Define and execute the strategic roadmap for predictive modeling.
  • Lead initiatives integrating analytics into business processes.
  • Oversee development and monitoring of high-impact models.

Skills

Predictive modeling
Machine learning
Python
SQL
Statistical tools (e.g., R, SAS)
Cloud architecture
Regulatory compliance
Data strategy

Education

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

Tools

MLOps tools (MLflow, Kubeflow)
Cloud platforms (AWS, Azure, GCP)

Job description

Credit Acceptance Corporation is seeking a Director who will define and execute the modeling strategy across credit risk, servicing, and collections. This strategic role involves overseeing predictive modeling and machine learning, leading cross-functional initiatives, and advising senior leadership.

The ideal candidate will have extensive experience in credit risk modeling and deep knowledge of analytics. An excellent benefits package and a supportive work culture are provided.

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