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 (Toronto)
🏢 BMO
📍 Toronto