Turn complex fraud data into leadership insights in Toronto, using advanced SQL, Python, and risk-based analysis within TD’s analytics business. This Business Insights Specialist focuses on fraud risk identification, detection performance, and business intelligence. You will translate analytical findings into recommendations for senior leaders and operational partners. Experience in First-Party Fraud, Third-Party Fraud, Financial Crimes, AML, Investigations, or Risk Analytics is encouraged.

Key Responsibilities
- Translate analytical findings into meaningful business insights
- Monitor detection rules, false positives, and alert volumes
- Conduct behavioral, trend, and root cause analyses
- Develop recurring and ad hoc fraud reporting




- Gather requirements and translate them into analytical solutions

Requirements:
- Seven or more years of relevant fraud or risk experience
- Ability to identify anomalies and emerging risks from large datasets
- Experience developing data-driven fraud recommendations
- Advanced SQL for enterprise data extraction and validation
- Solid written and verbal communication skills Use fraud analytics, business intelligence, and stakeholder communication to improve detection performance and risk decisions at TD.

📌 Fraud Risk Business Intelligence Analyst (Toronto)
🏢 TD Bank Group
📍 Toronto