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

Robust 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.

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