Credit Acceptance Corporation Logo

Credit Acceptance Corporation

Director, Predictive Modeling and Machine Learning

Posted Yesterday
Be an Early Applicant
Remote
Hiring Remotely in USA
251K-292K Annually
Expert/Leader
Remote
Hiring Remotely in USA
251K-292K Annually
Expert/Leader
Define and execute predictive modeling and ML strategy for credit risk, servicing, and collections. Lead cross-functional initiatives, oversee model development, deployment, and monitoring, advise senior leadership on data strategy, represent analytics in regulatory and audit forums, and mentor peers while fostering organizational partnerships.
The summary above was generated by AI

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success.  Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance.  We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions.  We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!

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. While not initially a people manager, the Director may lead initiatives and mentor others, with potential to transition into formal leadership.

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
Requirement:
  • 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
Preferred:
  • 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.

#LI-Remote

#zip

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 

Our Company Values:

To be successful in this role, Team Members need to be:

  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions
  • Direct by effectively communicating and conveying courage
  • Earnest by taking accountability, applying feedback and effectively planning and priority setting

Expectations:

  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

Advice!

We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term.  If you are actively looking or starting to explore new opportunities, send us your application!

 

P.S.

We have great details around our stats, success, history and more.  We’re proud of our culture and are happy to share why – let’s talk!

Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.

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.

California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.

Play the video below to learn more about our Company culture.

Similar Jobs

39 Minutes Ago
Remote or Hybrid
United States
42K-42K Annually
Entry level
42K-42K Annually
Entry level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Customer Care Advocate guides customers through complex insurance-related inquiries, using AI tools to enhance service accuracy and efficiency while ensuring compliance and customer confidence.
Top Skills: Ai-Powered ToolsCustomer Relationship Management
39 Minutes Ago
Remote or Hybrid
United States
107K-132K Annually
Senior level
107K-132K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Lead development and lifecycle management of supplemental health insurance products (Critical Illness, Cancer, Accident, Hospital Indemnity). Drive market research, competitive analysis, go-to-market plans, and cross-functional launches working with Pricing, Contracts, Operations, Technology, Training, and Sales to deliver product strategy and execution.
2 Hours Ago
Remote or Hybrid
Austin, TX, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead enterprise AI transformation and architecture engagements, advising C-suite on AI strategy, designing end-to-end AI and data architectures (RAG, knowledge graphs, data catalogs), defining governance and responsible AI frameworks, and driving adoption, enablement, and practice development across ServiceNow implementations.
Top Skills: Agent-To-Agent (A2A)Agentic WorkflowsAi AgentsAi Control TowerApp EngineCsmFsmGenerative Ai Skill KitHrsdItsmKnowledge GraphsModel Context Protocol (Mcp)Now AssistRdfRetrieval-Augmented Generation (Rag)ServicenowSparql

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account