- Doctoral degree
- Bachelor's degree
- Master's degree
- Doctor of Philosophy
- Relational databases
- Microsoft Excel
- Microsoft Powerpoint
Credit Acceptance is proud to be an award-winning company with local and national workplace recognition in multiple categories! Our world-class culture is shaped by dedicated Team Members who share a drive to succeed as professionals and together as a company. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.
Our IT 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!
As a Director of Predictive Analytics, you will be expected to be a hands-on developer as well a leader and mentor in the department. The department is responsible for the development of statistical models that drive many of the company’s processes (such as origination, servicing, and finance). Examples of models include (but are not limited to) credit risk scorecard, behavior scorecards, collections models, statistical forecasts, resource allocation, etc.
Outcomes and Activities:
This position will work from home; occasional planned travel to an office location may be required. However, this position is permitted to work at an office location if requested by the team member.
Develop, test and implement statistical models and data infrastructure
Actively monitor the performance of models in production
Analyze data to drive better business decisions
Develop complex programming to extract and manipulate data
Excellent professional and academic credentials
Bachelors’ degree or higher
7+ years experience developing predictive models, including originations and behavior models
5+ years’ experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc.
Expert knowledge of SQL and relational databases
Expert knowledge of Microsoft Excel and PowerPoint
Ability to confidently interact with senior business leaders
Master’s or Ph.D. in a quantitative field such as statistics, mathematics, economics, etc.
Advanced SAS programming certification
Experience in the consumer lending industry, with some preference given to automobile finance experience
Experience leading direct reports
Recent consulting or small company experience
Targeted Compensation: $160,000 - $215,000 base salary + an annual bonus plan
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.
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
Remain compliant with our policies processes and legal guidelines
All other duties as assigned
Attendance as required by department
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!
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 an inclusive environment for all. We are proud to be an Equal Opportunity Employer and value a culturally diverse workforce. We believe in ensuring all team members demonstrate mutual respect for one another. All qualified applicants will receive consideration for employment without regard to protected characteristics like age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.