Shape the future of fraud detection at RBC in Toronto as a Manager. Use advanced analytical techniques to reduce fraud while ensuring a seamless client experience and operational efficiency.

As a Manager in Fraud Detection & Optimization, you will be responsible for creating effective strategies that leverage data insights and analytical methodologies. Your role will place you at the forefront of fraud management initiatives, requiring collaboration with different stakeholders. You will also focus on innovative methodologies that enhance both detection and operational workflows.

Key Responsibilities:
• Develop and execute fraud detection strategies
• Collaborate on machine learning projects affecting fraud management
• Optimize fraud detection strategies for various product channels




• Monitor and enhance performance of fraud detection tools
• Provide recommendations for fraud management projects

Requirements:
• 3+ years experience in data science or analytics
• Solid skills in R, SQL, Python, or similar technologies
• Excellent problem-solving and critical thinking abilities
• Demonstrated capability in leading initiatives
• Relevant degree in mathematics or computer science

Enhance RBC's integrity and security through your expertise in analytics and strategic leadership in Toronto.
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📌 Fraud Detection & Optimization Manager at RBC (Ontario)
🏢 RBC
📍 Ontario