Use Python, SQL, and data visualization in Toronto’s hybrid Senior Fraud Analytics Analyst role, supporting investigations and proactive risk detection. Work three days in office.

As a Senior Analyst, Data Analytics, you will transform complex datasets into actionable intelligence for BMO investigators. You will develop analytics solutions, operational dashboards, reporting, and detection capabilities. The role also involves collaboration with technology and artificial intelligence partners on automation and AI-enabled tools.

Key Responsibilities:

- Identify emerging internal and external fraud patterns
- Develop technical fraud detection rules and scenarios
- Apply statistical, data mining, and pattern analysis techniques
- Build models, metrics,



profiles, and detection parameters
- Present statistical findings and actionable recommendations

Requirements:

- Experience with Python, SQL, and data visualization
- Knowledge of analytics algorithms and technologies
- Understanding of BMO data and data modelling
- Ability to analyze complex business problems
- Ability to formulate data-driven hypotheses

Bring advanced analytics, fraud detection, and problem-solving expertise to BMO’s investigative and risk mitigation work in Toronto.

📌 Senior Fraud Analytics Analyst (Toronto)
🏢 Bank N.a.
📍 Toronto