Use Python, SQL, and data visualization as a Senior Fraud Analytics Analyst in Toronto’s hybrid mode, working three days in office.
At BMO, this senior role advances investigative and detection capabilities protecting the organization and clients. You will transform complex datasets into actionable intelligence through analytics, automation, statistical analysis, and data mining. Your work supports fraud detection, investigations, and proactive risk identification across BMO.
Key Responsibilities: Analyze customer and employee data for criminal behaviours
Develop fraud detection rules, scenarios, models, and metrics
Support investigations with data and analytical findings
Create dashboards, reports, and automated investigator tools




Present statistical conclusions and actionable business recommendations
Requirements: Typically seven or more years of relevant experience
Master’s degree or bachelor’s degree with extensive experience
In-depth knowledge of financial crimes and fraud modalities
In-depth statistical analysis and human behaviour modeling knowledge
Strong data mining, communication, and problem-solving skills
Bring fraud analytics, Python, SQL, and investigative data expertise to BMO’s Toronto-based risk detection team.

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📌 Senior Fraud Analytics Analyst (Ontario)
🏢 Bank of Montreal
📍 Ontario