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 behaviorsOptimize triggers, alerts, and risk monitoring capabilitiesBuild early warning indicators, dashboards, and monitoring toolsEvaluate rules through performance metrics,



loss analysis, and testingCommunicate insights to executives and non-technical stakeholdersRequirements:

Advanced fraud analytics, statistical analysis, and machine learning expertiseStrong first party fraud risk management knowledgeProficiency with SQL, Python, Power BI, Dataiku, or comparable toolsBachelor’s Degree in a relevant fieldTypically 7–10+ years of relevant experienceLead BMO’s enterprise fraud analytics strategy through predictive modeling, behavioral insights, and actionable risk decisioning.

📌 Senior First Party Fraud Analytics Manager (Winnipeg)
🏢 BMO
📍 Winnipeg