Manager, Predictive Modeling and Machine Learning

Overview

Lead the development and deployment of statistical and machine learning models that drive strategic decision-making across credit risk, collections, and business operations.

What you'll do

• 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).
• Remain compliant with company policies, processes and legal guidelines.
• All other duties as assigned.
• Attendance as required by department.

What you'll need

• Bachelor's degree in a quantitative discipline.
• 5+ years of experience in predictive modeling and analytics.
• 5+ years of experience applying ML in production environments.
• Demonstrated leadership in cross-functional initiatives.
• Advanced proficiency in Python, SQL, and statistical tools (e.g., R, SAS).
• Strong communication and stakeholder management skills.

Nice to have

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

Details

• Work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required.
• Team members may choose to work at the Southfield, Michigan office if requested.
• Targeted compensation: $158,000 - $170,000 base salary plus annual bonus plan.
• Not currently open to individuals who require sponsorship now or in the future to work legally (such as H-1B / H-4 or F-1 OPT visa holders).
• Required degrees must be from institutions accredited by the Council for Higher Education Accreditation or equivalent.