Lead BMO’s first party fraud analytics strategy using machine learning, predictive modeling, and behavioral insights at 100 King Street West.

As Senior Manager, you will advance Enterprise Fraud Management capabilities across business banking products. You will develop analytical solutions, strengthen detection, and support real-time risk decisioning. The work connects technology, data, analytics, risk, and business stakeholders to improve fraud loss management.

Key Responsibilities:

- Develop risk-based rules for first party fraud behaviors
- Optimize triggers, alerts, and monitoring capabilities
- Build predictive models, dashboards, and early warning indicators
- Evaluate rule effectiveness through testing and loss analysis
- Communicate insights to executive and non-technical audiences

Requirements:

- Bachelor’s degree in a relevant field
- Seven to ten-plus years of relevant experience
- Advanced fraud analytics and statistical modeling expertise
- Hands-on SQL, Python, Power BI, Dataiku, and SAS skills
- Experience with business banking products and risk engines

Apply first party fraud analytics, machine learning, and leadership skills to strengthen BMO’s business banking risk capabilities.

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