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Senior Manager/Director, Predictive Modeling and Machine LearningCredit Acceptance • New York, New York, United States
Postuler Maintenant
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Senior Manager/Director, Predictive Modeling and Machine Learning

Credit Acceptance
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

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 (Senior Manager)
Integrate advanced ML techniques (e.g., ensemble models, deep learning, NLP) (Senior Manager)
Mentor and support junior and peer‑level data scientists (Senior Manager)
Promote adoption of modern data science tools and platforms (Senior Manager)
Present insights to senior and cross‑functional stakeholders (Senior Manager)
Drive experimentation with emerging techniques (e.g., causal inference, GenAI) (Senior Manager)
Define and execute the strategic roadmap for predictive modeling and machine learning (Director)
Lead cross‑functional initiatives integrating analytics to business processes (Director)
Oversee development, deployment, and monitoring of high‑impact models (Director)
Serve as a strategic advisor to senior leadership on data strategy and innovation (Director)
Represent Predictive Analytics in regulatory, audit, and governance forums (Director)
Foster partnerships across the organization (Director)
Requirements
Master’s or Ph.D. in a quantitative field
8+ years of experience in predictive modeling and analytics (Senior Manager)
10+ years of experience in predictive modeling and machine learning (Director)
6+ years of experience applying ML in production environments (Senior Manager)
6+ years of experience leading strategic initiatives or mentoring senior‑level peers (Director)
Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS)
Deep expertise in credit risk modeling and ML techniques (Director)
Experience with cloud platforms and MLOps tools (Senior Manager)
Thought leader with strong communication and stakeholder management skills (Senior Manager)
Strong understanding of cloud architecture and model lifecycle management (Director)
Proven ability to influence senior stakeholders (Director)
Experience with regulatory compliance in financial services (Director)
Preferred
Experience in consumer lending
Experience with model governance, explainability, and responsible AI (Senior Manager)
Experience with cloud platforms (AWS, Azure, GCP, etc.) and MLOps Tools (MLflow, Kubeflow, etc.) (Director)
Targeted Compensation Senior Manager: $221,225 - $259,096 base salary + annual bonus plan
Director: $250,513 - $292,265 base salary + annual bonus plan
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
Expectations
Remain compliant with our policies processes and legal guidelines
All other duties as assigned
Attendance as required by department
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.
EEO Statement 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.
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  • New York, New York, United States

Compétences linguistiques

  • English
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