Senior Analyst, Predictive Analytics and Machine Learning

Credit Acceptance Corporation; United States; Hybrid; USD 128,000 - 165,000; Full time

Benefits offered by this job

401(k) match

Adoption assistance

Tuition reimbursement

Comprehensive medical, dental, and vision

Job summary

Credit Acceptance Corporation is seeking a Senior Analyst in Predictive Analytics and Machine Learning. You will design and maintain statistical and machine-learning models to support critical business decisions and must have strong proficiency in programming languages like Python and SQL.

The candidate should have a Bachelor's degree in a quantitative field and over 3 years of relevant experience. The position offers a competitive salary ranging from $128,000 to $165,000, along with a comprehensive benefits package.

Qualifications

• 3+ years of experience in a business or research environment applying analytical and programming skills.
• Advanced proficiency in Python, SQL.
• Experience in financial services analytics or related data-intensive industry.

Responsibilities

• Design and develop machine-learning models for high-impact business decisions.
• Monitor models in production and recommend enhancements.
• Translate business objectives into analytical tasks.

Skills

Proficiency in Python

Proficiency in SQL

Strong analytical problem-solving skills

Expertise in large-scale datasets

Education

Bachelor’s degree in a quantitative field

Tools

R

SAS

Job description

Credit Acceptance is an award‑winning used‑car finance company with local and national workplace recognition in multiple categories.

Senior Analyst, Predictive Analytics and Machine Learning

Designs, develops, and maintains statistical and machine‑learning models that support high‑impact business decisions across pricing, credit risk, and other areas. A hands‑on, advanced individual contributor position focused on rigorous analysis, model development, and production performance monitoring, with strong partnership across business and technical stakeholders.

Outcomes and Activities

• 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.
• Work from home; occasional planned travel to the Southfield, Michigan office may be required. The position may also be performed on site if requested.

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 credit scorecards, pricing models, or collections strategies.
• Experience in financial services analytics or a related regulated, data‑intensive industry.
• Familiarity with model performance monitoring, validation concepts, and production analytics.

Targeted Compensation

$128,000 - $165,000 base salary + an annual bonus plan.

Eligibility

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.

Benefits

Excellent benefits package that includes 401(k) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical, dental, and vision, and many non‑standard benefits.

Equal Employment Opportunity

Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. We are a proud Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of 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.