Mid-Level/Senior Analyst, Predictive Modeling and Machine Learning

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.

• 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 support statistical and machine learning models that drive strategic business decisions and deliver measurable business value.
• Develop analytical code and data processes to acquire, transform, validate, and analyze large datasets.
• Translate business objectives into analytical solutions and communicate findings and recommendations to stakeholders.
• Support model governance, testing, implementation, documentation, and ongoing performance monitoring.
• Share technical knowledge and contribute to a collaborative analytics environment.

• Bachelor's degree or higher in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, or another quantitative discipline.
• 1+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Analyst)
• 3+ years of experience developing predictive models or performing advanced analytics in a business or research environment. (Senior Analyst)
• Experience applying statistical or machine learning techniques to solve analytical problems.
• Proficiency in SQL and at least one analytical programming language such as Python, SAS, or R.
• Strong analytical, problem-solving, and communication skills.

• Graduate degree in a quantitative discipline.
• Experience developing predictive models in financial services, consumer lending, or other data-intensive industries.
• Exposure to deploying and monitoring predictive or machine learning models in production environments.
• Familiarity with model governance, validation, and regulatory requirements.

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