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
- Strong 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 in Toronto employer: TD Bank Group
TD Bank Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the dynamic field of Payments Modernization. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, all while being part of a leading financial institution located in the vibrant city of Toronto.
