Use Python, SQL, visualization, and automation in Toronto’s hybrid Senior Fraud Analytics Analyst position, supporting investigative detection across BMO.
As a Senior Analyst, Data Analytics, you will transform complex datasets into actionable intelligence for criminal risk mitigation. You will develop analytic solutions, detection rules, dashboards, and reporting while applying statistical, data mining, and pattern analysis techniques. The role supports investigations involving BMO customers and employees.
Key Responsibilities: Identify emerging external and internal fraud patterns
Develop complex fraud detection rules and scenarios
Analyze transactions, customer data, and fraudulent behaviours




Present statistical findings and actionable recommendations
Maintain models, metrics, profiles, and detection parameters
Requirements: Typically seven or more years of relevant experience
Master’s degree or bachelor’s degree with extensive experience
In-depth financial crimes and fraud knowledge
In-depth statistical analysis and human behaviour modeling knowledge
In-depth data mining tools knowledge
Bring fraud analytics, statistical modeling, and technical development expertise to investigative risk detection at BMO.

#J-18808-Ljbffr

📌 Senior Fraud Analytics Analyst (Ontario)
🏢 Bmo Privileged
📍 Ontario