Lead fraud detection strategies at RBC as a Manager focused on analytics and optimization. Utilize advanced methodologies to enhance fraud detection processes and maintain an excellent client experience.

In this managerial role, you will develop and execute creative fraud detection strategies using analytical techniques. Collaborate across teams and work with data science initiatives to streamline processes and enhance operational efficiency. Your contributions will help identify emerging fraud trends and reduce risks effectively.

Key Responsibilities:
• Implement advanced analytical methodologies to create fraud detection strategies
• Collaborate on machine learning and AI projects impacting fraud detection
• Develop and optimize strategies for non-traditional channels and products




• Monitor performance of detection strategies and enhance analytical tools
• Manage detection alerts and ensure accurate rule deployments

Requirements:
• 3+ years in analytics or data science with large datasets
• Proficiency in R, SQL, Python, or similar programming languages
• Strong critical thinking and problem-solving skills
• Exceptional communication skills for diverse audiences
• Degree in mathematics, statistics, or related field

Drive innovative fraud detection and optimization efforts at RBC in Toronto.
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📌 Manager of Fraud Detection at RBC (Ontario)
🏢 Socket.dev
📍 Ontario