Director, Predictive Modeling, Machine Learning

Credit Acceptance

Director driving predictive modeling and machine learning for Credit Acceptance. Leading strategic initiatives in credit risk, servicing, and collections with deep technical expertise.

Posted 6/29/2026full-timeRemote • 🇺🇸 United StatesLead💰 $250,513 - $292,265 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling and machine learning, with a strong focus on credit risk modeling and regulatory compliance in financial services. Proven leadership in strategic initiatives and the ability to influence senior stakeholders while integrating analytics into business processes.

Highest-signal resume keywords

Predictive ModelingMachine LearningCredit Risk ModelingPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingMachine LearningCredit Risk ModelingStatistical ToolsCloud ArchitectureModel Lifecycle ManagementPythonSQLRSAS

Soft Skills

Influencing Senior StakeholdersMentoring Senior-Level Peers

Certifications & Qualifications

Ph.D.Master’s in Quantitative Discipline

Industry Keywords

Regulatory ComplianceFinancial ServicesData StrategyAnalytics IntegrationGovernance

Tech Stack

Tools & technologies

CloudPythonSQL

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