Manager, ML Engineer

As a Manager, ML Engineer, you will transform machine learning models into production-grade services that support credit risk modeling and stress testing programs. You will own the end-to-end production lifecycle of credit risk models, from development and implementation to testing and continuous assurance, directly impacting the bank's financial statements.

• Develop scalable and efficient production implementations of credit risk models
• Engineer and maintain scalable ETL pipelines and workflows
• Build and maintain CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Airflow)
• Experience with Python and PySpark for large dataset manipulation
• Knowledge of credit risk methodology and provisioning/stress testing frameworks
• UAT/PIV testing experience in regulated financial environments