onsite
Senior Manager / Director, Predictive Modeling and Machine Learning - Credit Acceptance Corporation
ML Engineer
Lead a high‑performing analytics team to design, develop, and deploy predictive models and machine‑learning solutions that drive credit risk decisions and portfolio performance.
About the role
Key Responsibilities
- Define and execute the strategy for predictive modeling and machine‑learning initiatives across the credit portfolio.
- Lead, mentor, and grow a multidisciplinary team of data scientists, engineers, and analysts.
- Design, build, and productionize scalable models using Python, Spark, and SQL on cloud platforms such as AWS.
- Collaborate with product, risk, and finance stakeholders to translate business problems into data‑driven solutions.
- Establish best practices for model governance, monitoring, and continuous improvement.
Requirements
- 5+ years of hands‑on experience developing and deploying machine‑learning models in a financial services or lending environment.
- Strong expertise in Python, SQL, and big‑data processing frameworks (e.g., Spark).
- Proven leadership experience managing technical teams and delivering large‑scale analytics projects.
- Deep understanding of credit risk, predictive analytics, and model validation techniques.
- Experience with cloud services (AWS) and CI/CD pipelines for model deployment.
Skills
pythonmachine learningsqlaws