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.

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