Back to jobs

Senior Manager, Predictive Modeling and Machine Learning

USA - Remote

Pay
$184,354–270,386 · TargetPay period needs review — pay source
Experience with model governance, explainability, and responsible AI Targeted Compensation: $184,354 – $270,386 base salary + 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.
Read the full posting
Work setting
Remote — work setting source
Listed location: USA - Remote
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
Read the full posting
Apply at Creditacceptance

What you’ll work on

Full posting
  • Lead design and deployment of predictive models for credit risk, collections, and operations

  • Integrate advanced ML techniques such as ensemble models, deep learning, and NLP

  • Mentor and support junior and peer-level data scientists

  • Promote adoption of modern data science tools and platforms

  • Present insights to senior and cross-functional stakeholders

From the employer’s posting
Lead the design and deployment of predictive models for credit risk, collections, and operations
Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP)
Mentor and support junior and peer-level data scientists
Promote adoption of modern data science tools and platforms
Present insights to senior and cross-functional stakeholders

What you’ll bring

All qualifications

Core experience

  • Bachelor's in a quantitative field
  • Master’s or Ph.D. in a quantitative field
  • 8+ years of experience in predictive modeling and analytics
  • Experience in consumer lending
  • 6+ years of experience applying ML in production environments
  • Experience with model governance, explainability, and responsible AI
Qualification wording
Bachelor's in a quantitative field
Master’s or Ph.D. in a quantitative field
8+ years of experience in predictive modeling and analytics
Experience in consumer lending
6+ years of experience applying ML in production environments
Experience with model governance, explainability, and responsible AI
Education & alternatives
Requirements: - Bachelor's in a quantitative field - 8+ years of experience in predictive modeling and analytics
Preferred: - Master’s or Ph.D. in a quantitative field - Experience in consumer lending

Tools in this posting

  • Python
  • R
  • SAS
  • SQL
Source — Tool mentions in context
- 6+ years of experience applying ML in production environments - Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS) - Experience with cloud platforms and MLOps tools

Benefits in the posting

Full benefits wording
  • 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:
  • Positive by maintaining resiliency and focusing on solutions
  • Respectful by collaborating and actively listening
  • Direct by effectively communicating and conveying courage
  • To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:
  • Identify the Right People by recognizing top talent
  • Set Clear Expectations by managing change and directing others
  • Train team members and focus on developing talent
  • Performance Manage by ensuring accountability and driving results
  • Expectations:
  • Remain compliant with our policies processes and legal guidelines
  • All other duties as assigned
  • Attendance as required by department

From the employer’s posting.

Posting record

Report an error

Open 4 monthsWe first saw this posting 126 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 25, 2026 · 126 days ago
Recorded sightings
72
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

Complete your application on creditacceptance.wd5.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

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!

This role leads complex modeling initiatives and drives innovation in machine learning and data science. The Senior Manager designs and deploys advanced statistical and ML models that inform strategic decisions across credit risk, collections, and operations. While formal people management may not be required, the role demands strong leadership, deep technical expertise, mentorship, and business acumen to elevate the organization’s analytics capabilities.

Outcome 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.
  • Lead the design and deployment of predictive models for credit risk, collections, and operations
  • Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP)
  • Mentor and support junior and peer-level data scientists
  • Promote adoption of modern data science tools and platforms
  • Present insights to senior and cross-functional stakeholders
  • Drive experimentation with emerging techniques (e.g., causal inference, GenAI)

Requirements:

  • Bachelor's in a quantitative field
  • 8+ years of experience in predictive modeling and analytics
  • 6+ years of experience applying ML in production environments
  • Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
  • Experience with cloud platforms and MLOps tools
  • Thought leader with strong communication and stakeholder management skills

Preferred:

  • Master’s or Ph.D. in a quantitative field
  • Experience in consumer lending
  • Experience with model governance, explainability, and responsible AI

Targeted Compensation: $184,354 – $270,386 base salary + 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

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

To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:

  • Identify the Right People by recognizing top talent
  • Set Clear Expectations by managing change and directing others
  • Train team members and focus on developing talent
  • Performance Manage by ensuring accountability and driving results
  • Create the Right Environment by establishing trust and managing conflict
  • Maintain the Right Number of team members needed to build an effective team

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!

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.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
Experience with model governance, explainability, and responsible AI Targeted Compensation: $184,354 – $270,386 base salary + 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.
Location & working pattern

USA - Remote

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
Work authorization
Targeted Compensation: $184,354 – $270,386 base salary + 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

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.