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

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Analyst, Predictive Modeling & 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. 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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!
We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!
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!


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Required degrees
Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.
Equal Opportunity Employer
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.
Company Culture
Play the video below to learn more about our Company culture.
At Credit Acceptance, we celebrate what makes each of us unique. We want every Team Member to feel comfortable bringing their authentic self to work — because diverse perspectives make us stronger. Our inclusive culture and flexible opportunities help each person find the right balance between work and life, in a way that fits them best.
Credit Acceptance offers Team Members:
- Flexible work options including work from home, on site and hybrid positions
- Company provided technology packages for all Team Members
- An atmosphere that is collaborative, challenging, and filled with forward thinking Team Members
- Extensive growth opportunities as demonstrated by our track record of promoting internally
- Ongoing business training and career development opportunities
- Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
- Generous PTO and holidays that include 27.5 total days during first full year of employment
- 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
To learn more about who we are and what makes us a Great Place to Work, follow this link!
Click here to see our Company in action!
If you are a current Credit Acceptance Team Member, click here to apply.
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Jessica, London
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