Lead BMO’s first party fraud analytics strategy using machine learning, predictive modeling, and behavioral insights at 100 King Street West.

As Senior Manager, you will advance Enterprise Fraud Management capabilities across business banking products. You will develop analytical solutions, strengthen detection, and support real-time risk decisioning. The work connects technology, data, analytics, risk, and business stakeholders to improve fraud loss management.

Key Responsibilities:
Develop risk-based rules for first party fraud behaviors
Optimize triggers, alerts, and monitoring capabilities
Build predictive models, dashboards, and early warning indicators
Evaluate rule effectiveness through testing and loss analysis




Communicate insights to executive and non-technical audiences

Requirements:
Bachelor’s degree in a relevant field
Seven to ten-plus years of relevant experience
Advanced fraud analytics and statistical modeling expertise
Hands-on SQL, Python, Power BI, Dataiku, and SAS skills
Experience with business banking products and risk engines

Apply first party fraud analytics, machine learning, and leadership skills to strengthen BMO’s business banking risk capabilities.
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📌 Senior First Party Fraud Analytics Manager Toronto (Canada)
🏢 BMO
📍 Canada