Senior Fraud Analytics Analyst

Use Python, SQL, and data visualization as a Senior Fraud Analytics Analyst in Toronto’s hybrid model, working three days in office.At BMO, this senior role advances investigative and detection capabilities protecting the organization and clients. You will transform complex datasets into actionable intelligence through analytics, automation, statistical analysis, and data mining. Your work supports fraud detection, investigations, and proactive risk identification across BMO.Key Responsibilities:
Analyze customer and employee data for criminal behavioursDevelop fraud detection rules, scenarios, models, and metricsSupport investigations with data and analytical findingsCreate dashboards, reports, and automated investigator toolsPresent statistical conclusions and actionable business recommendationsRequirements:
Typically seven or more years of relevant experienceMaster’s degree or bachelor’s degree with extensive experienceIn-depth knowledge of financial crimes and fraud modalitiesIn-depth statistical analysis and human behaviour modeling knowledgeStrong data mining, communication, and problem-solving skillsBring fraud analytics, Python, SQL, and investigative data expertise to BMO’s Toronto-based risk detection team.
#J-18808-Ljbffr