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 (Ontario)
🏢 TD Bank Group
📍 Ontario