Python Sql Insider Risk Analyst
TD Bank Group
Build automated monitoring solutions for insider risks in Toronto, combining Python, SQL, anomaly detection, and large-scale data analysis.TD seeks a Business Insights Specialist for Insider Fraud Detection and Analytics. The specialist develops repeatable analytical processes, supports model development, and validates enterprise data. You will collaborate with technology, data engineering, investigations, compliance, and risk teams.Key Responsibilities:
Develop advanced SQL queries across enterprise data sourcesUse Python for automation and statistical analysisSupport data validation, quality assurance, and model developmentCreate scalable monitoring solutions and repeatable processesRecommend enhancements to fraud monitoring strategiesRequirements:
Seven or more years in fraud management, AML, investigations, or related analyticsAdvanced Python with pandas, numpy, and data transformationExperience with anomaly detection and reporting automationStrong problem-solving and critical thinking capabilitiesInsider fraud or banking experience is preferredBring Python automation, advanced SQL, and fraud-risk judgment to scalable insider monitoring and analytics initiatives at TD.
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Develop advanced SQL queries across enterprise data sourcesUse Python for automation and statistical analysisSupport data validation, quality assurance, and model developmentCreate scalable monitoring solutions and repeatable processesRecommend enhancements to fraud monitoring strategiesRequirements:
Seven or more years in fraud management, AML, investigations, or related analyticsAdvanced Python with pandas, numpy, and data transformationExperience with anomaly detection and reporting automationStrong problem-solving and critical thinking capabilitiesInsider fraud or banking experience is preferredBring Python automation, advanced SQL, and fraud-risk judgment to scalable insider monitoring and analytics initiatives at TD.
#J-18808-Ljbffr
Vacancy posted 24 minutes ago
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