Senior ML & Predictive Modeling Analyst

creditacceptance; United States; Remote; USD 97,000 - 165,000; Full time

Benefits offered by this job

401(K) match

Adoption assistance

Parental leave

Tuition reimbursement

Medical/dental/vision insurance

Job summary

Credit Acceptance is seeking a senior Analyst to design, implement, and monitor predictive models across credit risk and related domains. You will translate business challenges into analytical solutions and deliver measurable value through data-driven decisions.

This role requires translating business objectives into models, maintaining code and data processes, and communicating insights. A strong foundation in statistics, SQL, and Python/SAS/R is essential, with a team-oriented, compliant

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 1+ years of experience in predictive modeling or advanced analytics.
• 3+ years for Senior Analyst in similar settings.
• Experience applying statistical or ML techniques to business problems.
• Proficiency in SQL and at least one analytics language (Python/SAS/R).
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Develop and support statistical and ML models driving strategic decisions.
• Transform and analyze large datasets; deliver actionable insights.
• Communicate findings to stakeholders and support governance and monitoring of models.
• Share knowledge and collaborate within the analytics team.

Skills

SQL

Python

R

SAS

Statistics

Communication

Education

Bachelor's degree or higher in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science

Tools

Git

Jupyter

Job description

Credit Acceptance is seeking a senior Analyst to design, implement, and monitor predictive models across credit risk and related domains. You will translate business challenges into analytical solutions and deliver measurable value through data-driven decisions.

This role requires translating business objectives into models, maintaining code and data processes, and communicating insights. A strong foundation in statistics, SQL, and Python/SAS/R is essential, with a team-oriented, compliant