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

Solid 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.

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