Lead first party fraud analytics at BMO with machine learning and predictive modeling expertise. Build risk-based detection for lending products and onboarding.
This senior manager develops analytical solutions for misrepresentation, synthetic identities, bust-outs, stolen IDs, and post-origination fraud. The role combines statistical analysis, data mining, rule optimization, and model development to strengthen monitoring and decisioning. You will guide analytics teams and influence enterprise fraud strategies through data-driven recommendations.
Key Responsibilities: Develop risk-based rules identifying first party fraud behaviors
Optimize triggers and alerts across onboarding channels
Build early warning indicators, monitoring tools, and dashboards




Evaluate rules using performance metrics, loss analysis, and testing
Partner with investigations and operations on prioritized alerts
Requirements: Advanced expertise in fraud analytics and predictive modeling
Knowledge of first party fraud risk management for lending
Proficiency with SQL, Python, Power BI, Dataiku, or comparable tools
Bachelor’s Degree in a relevant field
Typically 7-10+ years of relevant experience
Bring fraud analytics leadership, machine learning, and risk monitoring expertise to BMO’s first party fraud program.

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📌 Senior First Party Fraud Analytics Manager (Ontario)
🏢 Bank of Montreal
📍 Ontario