Lead analytics efforts with TD in Ottawa as a Business Insights Analyst II. Focus on fraud management, leveraging big data to create actionable insights and strategies.

This role at TD allows you to contribute deeply to fraud management through analytics while supporting data-driven decision-making. You will utilize your strong technical skills in SQL and Python, focusing on fraud detection and overall risk reduction. Your work will help establish strategies that balance customer experience with operational needs in a fast-paced financial environment.

Key Responsibilities:
• Develop fraud strategies tailored to products and channels
• Optimize existing rules with SQL, Python, and fraud solutions
• Conduct regular fraud monitoring across various metrics




• Provide executive-level analysis for decision-making
• Strengthen and enhance fraud strategy and analytics capabilities

Requirements:
• Expertise in SQL and Python for data analysis
• 2+ years in an analytical capacity
• Familiarity with data science tools like NumPy or R
• Bachelor’s degree in a technical field
• Experience in fraud management preferred

Bring your analytics acumen to TD in Ottawa, driving creative fraud management strategies with data analytics.
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📌 Analytics Insights Analyst at TD (Quebec City)
🏢 The Toronto-Dominion Bank (Canada)
📍 Quebec City