Use Python, SQL, and data visualization as a Senior Fraud Analytics Analyst in Toronto’s hybrid model, 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
- Solid data mining, communication, and problem-solving skills Bring fraud analytics, Python, SQL, and investigative data expertise to BMO’s Toronto-based risk detection team.

📌 Senior Fraud Analytics Analyst (Toronto)
🏢 BMO
📍 Toronto