Advance BMO’s first party fraud analytics through machine learning and behavioral insights at the enterprise level. Strengthen detection while balancing customer experience and portfolio performance.

As Senior Manager, you will execute data-driven strategies for identifying, measuring, and mitigating first party fraud risk. You will develop analytical solutions, improve loss attribution, and support real-time risk decisioning. The work spans risk-based rules, predictive modeling, monitoring, and stakeholder influence across BMO.

Key Responsibilities:
Develop risk-based rules for first party fraud behaviors
Optimize triggers, alerts, and risk monitoring capabilities
Build early warning indicators, dashboards, and monitoring tools
Evaluate rules through performance metrics,



loss analysis, and testing
Communicate insights to executives and non-technical stakeholders

Requirements:
Advanced fraud analytics, statistical analysis, and machine learning expertise
Robust first party fraud risk management knowledge
Proficiency with SQL, Python, Power BI, Dataiku, or comparable tools
Bachelor’s Degree in a relevant field
Typically 7–10+ years of relevant experience

Lead BMO’s enterprise fraud analytics strategy through predictive modeling, behavioral insights, and actionable risk decisioning.
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📌 Senior First Party Fraud Analytics Manager Toronto
🏢 BMO
📍 Toronto