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

Credit Acceptance Corporation; Southfield (MI); Remote; USD 97,000 - 165,000; Full time

Benefits offered by this job

Excellent benefits package

Job summary

Credit Acceptance is seeking an Analyst, Predictive Modeling & Machine Learning, to design, develop, and monitor statistical and ML models that support credit risk, collections, servicing, marketing, forecasting, and other business functions.

This senior individual contributor translates business challenges into analytical solutions and delivers measurable value through data-driven decision making, with work-from-home flexibility and occasional travel to Southfield, MI when needed.

Qualifications

• 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.
• 3+ years of experience developing predictive models or performing advanced analytics in a business or research environment.
• 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.

Responsibilities

• 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.

Skills

SQL

Python

R

Analytical thinking

Education

Bachelor's degree in Statistics/ Mathematics/ Economics/ CS/ Engineering/ Data Science

Tools

SAS

R

Python

Job description

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.

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!

The Analyst, Predictive Modeling & Machine Learning designs, develops, implements, and monitors statistical and machine learning models that support strategic business decisions across credit risk, collections, servicing, marketing, forecasting, and other business functions. This role is a senior individual contributor responsible for translating business challenges into analytical solutions and delivering measurable business value through data-driven decision making.

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 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.

Requirements:

• 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.

Preferred:

• 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.

Targeted Compensation:

Analyst: $97,000 - $130,000 base salary + an annual bonus plan.

Senior Analyst: $128,000 - $165,000 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.

#LI-Remote

#zip

INDCSLP

Benefits

• Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work

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

Expectations:

• Remain compliant with our policies processes and legal guidelines


• All other duties as assigned


• Attendance as required by department

Advice!

P.S.

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 a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's 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.

Play the video below to learn more about our Company culture.