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 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!
Outcomes and Activities:
- This position will work from home; occasional planned travel to our Southfield, Michigan office may be required. However, this position is permitted to work at our Southfield, Michigan office if requested by the team member.
- Develop and maintain complex statistical and machine learning models that optimize high‑volume, data‑driven decisions and deliver measurable business value.
- Actively monitor models in production, identify performance degradation or data issues, and recommend corrective actions or enhancements.
- Develop complex SQL and analytical code to extract, transform, and validate large, multi‑source datasets used for modeling, reporting, and decision support.
- Perform ad hoc and exploratory analyses to address business questions, evaluate trade‑offs, and inform policy or strategy decisions.
- Translate high‑level business objectives into analytical tasks, technical specifications, and modeling approaches.
- Ensure data quality, consistency, and suitability for modeling; support testing, validation, and implementation activities required for production deployment.
Requirements:
- Bachelor’s degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
- 3+ years of experience applying analytical and programming skills in a business or research environment.
- Proficiency in one or more analytical and programming languages such as Python, SQL, R, or SAS.
- Strong analytical problem‑solving skills with the ability to apply quantitative methods creatively to business problems.
- Expertise in extracting, manipulating, and analyzing large‑scale datasets.
Preferred:
- Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
- Experience developing or supporting predictive models such as cred