Analyze insider fraud risks in Toronto with advanced Python and SQL, supporting TD’s detection strategies through actionable business intelligence.

The Business Insights Specialist supports insider fraud detection and analytics at TD. You will examine employee activity, identify emerging threats, and inform monitoring improvements. The role partners with Fraud, Investigations, Compliance, Risk, Technology, and Data Engineering teams.

Key Responsibilities:
Analyze datasets for suspicious activity and emerging insider risks
Optimize fraud detection scenarios through data-driven analysis
Produce reporting on trends, performance, and risk indicators
Automate analytics using Python and advanced SQL




Present findings and recommendations to organizational stakeholders

Requirements:
Seven or more years in fraud, financial crimes, AML, investigations, or risk analytics
Advanced SQL, including joins, subqueries, and window functions
Advanced Python using pandas and numpy
Knowledge of fraud typologies, controls, and investigative processes
Robust critical thinking, communication, and analytical skills

Apply fraud expertise, Python automation, and SQL analysis to strengthen TD’s insider monitoring programs in Toronto.

📌 Insider Fraud Analytics Specialist Toronto
🏢 TD Bank Group
📍 Toronto