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 sources Use Python for automation and statistical analysis Support data validation, quality assurance, and model development Create scalable monitoring solutions and repeatable processes Recommend enhancements to fraud monitoring strategies Requirements:

Seven or more years in fraud management, AML, investigations, or related analytics Advanced Python with pandas, numpy, and data transformation Experience with anomaly detection and reporting automation Solid problem-solving and critical thinking capabilities Insider fraud or banking experience is preferred Bring Python automation, advanced SQL, and fraud-risk judgment to scalable insider monitoring and analytics initiatives at TD.

#J-18808-Ljbffr

📌 Python SQL Insider Risk Analyst (Winnipeg)
🏢 TD Bank Group
📍 Winnipeg