Use Python and SQL analytics to identify insider fraud risks as a Business Insights Specialist with TD in Toronto, Ontario.

This specialist supports insider fraud detection strategies through business intelligence, fraud risk identification, and advanced analytics. You will partner with Fraud, Investigations, Compliance, Risk, Technology, and Data Engineering teams. The work includes monitoring employee activity, developing actionable insights, and supporting detection rule enhancement.

Key Responsibilities:
Analyze complex datasets for suspicious employee activity and emerging risks
Support data-driven fraud detection scenario development and optimization
Evaluate detection rules, false positives, alert volumes, and risk indicators
Present findings and recommendations to organizational stakeholders




Automate analytics processes and create scalable monitoring solutions

Requirements:
Seven or more years in fraud, financial crimes, AML, investigations, or risk analytics
Solid understanding of fraud typologies, controls, and investigative processes
Advanced SQL with joins, subqueries, window functions, and validation
Advanced Python using pandas, numpy, automation, and statistical analysis
Robust problem-solving, critical thinking, and communication skills

Bring fraud expertise, Python, SQL, and analytical judgment to strengthen TD’s insider fraud monitoring capabilities in Toronto.
J-18808-Ljbffr

📌 Insider Fraud Analytics Specialist Toronto
🏢 TD
📍 Toronto