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.