Senior Fraud Analytics Analyst

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 patternsDevelop complex fraud detection rules and scenariosAnalyze transactions, customer data, and fraudulent behavioursPresent statistical findings and actionable recommendationsMaintain models, metrics, profiles, and detection parametersRequirements:
Typically seven or more years of relevant experienceMaster’s degree or bachelor’s degree with extensive experienceIn-depth financial crimes and fraud knowledgeIn-depth statistical analysis and human behaviour modeling knowledgeIn-depth data mining tools knowledgeBring fraud analytics, statistical modeling, and technical development expertise to investigative risk detection at BMO.
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