Data Engineer, Fraud Predictive Analytics
BMO — Toronto, ON, CAN
Posted 2026-10-23
Application Deadline: 11/29/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting Hybrid role Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better prediction models and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across Financial Crimes Unit to build advanced fraud detection, fraud investigation, fraud prevention tools/models. Conducts research to identify, assess and recommend viable, practical solutions to specific financial crimes /criminal risk exposures Develops and maintains an understanding of the financial crime management processes, frameworks and techniques. Recommends and implements solutions based on analysis of issues and implications for the business. Understands and analyzes complex bu