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 behaviorsOptimize triggers and alerts across onboarding channelsBuild early warning indicators, monitoring tools,



and dashboardsEvaluate rules using performance metrics, loss analysis, and testingPartner with investigations and operations on prioritized alertsRequirements:
Advanced expertise in fraud analytics and predictive modelingKnowledge of first party fraud risk management for lendingProficiency with SQL, Python, Power BI, Dataiku, or comparable toolsBachelor’s Degree in a relevant fieldTypically 7-10+ years of relevant experienceBring 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 (Winnipeg)
🏢 BMO
📍 Winnipeg