Engineering Manager, Machine Learning - Credit Risk

Role overview The Engineering Manager will lead a team of machine learning engineers focused on credit risk within the Risk & Financial Crimes organization. The role combines people leadership with technical direction, guiding ML initiatives that inform risk-related decisions and financial-crimes objectives across the business.

Responsibilities - Manage and develop a team of machine learning engineers working on credit risk modeling and decisioning - Shape the technical roadmap for ML systems that support risk and financial-crimes priorities - Partner with product, data science, and risk stakeholders to align on objectives and outcomes - Oversee the full lifecycle of production ML systems, from development through ongoing monitoring - Coach engineers on experimentation, model quality, and shipping reliable ML-powered products

Requirements - Experience leading or managing machine learning engineering teams - Applied ML background, ideally with exposure to credit risk, fraud detection, or financial-crimes work - Familiarity with production ML systems, including evaluation, monitoring, and model lifecycle management - Ability to collaborate effectively across risk, product, and engineering organizations - Eligibility to work remotely from Canada or the United States

Benefits and work setup - Full-time position - Hybrid and remote options across Canada and the United States, with hubs in Toronto, Atlanta, Chicago, New York, Seattle, and the South San Francisco area