Use Python, SQL, and data visualization in Toronto’s hybrid Senior Fraud Analytics Analyst role, supporting investigations and proactive risk detection. Work three days in office.
As a Senior Analyst, Data Analytics, you will transform complex datasets into actionable intelligence for BMO investigators. You will develop analytics solutions, operational dashboards, reporting, and detection capabilities. The role also involves collaboration with technology and artificial intelligence partners on automation and AI-enabled tools.
Key Responsibilities
Identify emerging internal and external fraud patternsDevelop technical fraud detection rules and scenariosApply statistical, data mining, and pattern analysis techniquesBuild models, metrics,
profiles, and detection parametersPresent statistical findings and actionable recommendationsRequirements:
Experience with Python, SQL, and data visualizationKnowledge of analytics algorithms and technologiesUnderstanding of BMO data and data modellingAbility to analyze complex business problemsAbility to formulate data-driven hypothesesBring advanced analytics, fraud detection, and problem-solving expertise to BMO’s investigative and risk mitigation work in Toronto.
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