Credit Acceptance Corporation Logo

Credit Acceptance Corporation

Director, Predictive Modeling and Machine Learning

Posted 11 Days Ago
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:
  • 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 (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:
  • 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.

#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

An Hour Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Expert/Leader
Expert/Leader
Artificial Intelligence • Computer Vision • Greentech • Machine Learning • Robotics • Industrial • Automation
Lead origination and close of AMP ONE sortation system and SaaS deals by sourcing opportunities, building pipelines, structuring agreements, running due diligence, modeling project finances, and influencing public and private stakeholders. Drive partnerships, present product solutions, monitor market trends, and lead cross-functional teams to execute complex transactions across target regions.
An Hour Ago
Easy Apply
Remote
USA
Easy Apply
81K-100K Annually
Senior level
81K-100K Annually
Senior level
Big Data • Healthtech • HR Tech • Machine Learning • Software • Telehealth • Big Data Analytics
Own end-to-end logistics for Garners multi-day Tier 1 events: venue and vendor management, rooming, transportation, budgets, onsite execution, production schedules, and post-event reconciliation. Manage RFPs and contracts, coordinate vendors and stakeholders, build event plans in Asana, and serve as the operational lead onsite. Travel up to 50% required.
Top Skills: AsanaClaude CodeGoogle WorkspaceSlackSwoogo
An Hour Ago
Remote or Hybrid
259K-351K Annually
Expert/Leader
259K-351K Annually
Expert/Leader
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Lead multi-year product strategy and execution for a cloud security platform, building shared services (identity, data plane, APIs, AI), scaling product teams, aligning cross-functional roadmaps, optimizing cloud costs, and ensuring platform reliability, security, and developer adoption.
Top Skills: Agentic AiCloud Infrastructure Cost-OptimizationCloud-NativeData Plane ArchitectureDeveloper-Facing ApisIdentity Systems

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account