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Job Description & How to Apply Below
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
- Seven or more years in fraud, financial crimes, AML, investigations, or risk analytics
- Strong 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
- Strong 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.
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