Senior Data Mining Risk Analyst

Apply data mining, statistical analysis, and Python to complex risk challenges as a Senior Data Mining Risk Analyst in Toronto’s hybrid workplace.BMO seeks a senior analytics professional to identify emerging fraud patterns and strengthen criminal risk mitigation. This role combines SQL, data visualization, automation, and analytical algorithms to connect transactions, customer data, and predicted behaviours. You will develop solutions supporting investigators, management programs, and informed decisions.Key Responsibilities:
Identify emerging internal and external fraud patternsAcquire appropriate data from BMO warehouse systemsApply pattern analysis to transaction and customer relationshipsMaintain fraud detection profiles, parameters, and metricsRecommend enhancements based on program effectiveness and trendsRequirements:
Typically seven or more years of relevant experienceMaster’s degree or equivalent extensive related experienceDeep technical development and data mining proficiencyKnowledge of financial crimes, fraud techniques, and behavioursIn-depth analytical, influencing, collaboration, and communication skillsUse statistical modeling, data mining, and risk insight to improve fraud detection and decision-making across BMO.
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