Lead fraud detection and optimization initiatives at RBC in Toronto. As the Manager, you'll utilize advanced analytics and innovative approaches to minimize fraud risk while enhancing client experience.

In this pivotal role, you will leverage your expertise to develop and implement strategies aimed at reducing fraud risks. You'll collaborate with Data Science & Innovation projects involving machine learning and artificial intelligence, ensuring impactful fraud detection methods. Your responsibilities will include optimizing existing strategies and contributing to various fraud management projects.

Key Responsibilities:
• Implement advanced analytical methodologies for fraud detection
• Collaborate on machine learning projects impacting fraud detection




• Develop strategies for non-traditional channels and products
• Monitor performance of existing fraud detection strategies
• Prioritize fraud detection alerts across platforms

Requirements:
• 3+ years in analytics or data science roles
• Strong knowledge of R, SQL, Python, or similar
• Exceptional critical thinking and analytical skills
• Proven leadership capability for complex initiatives
• Degree in mathematics, statistics, or related fields

Utilize your analytical skills and leadership experience to contribute to RBC's cutting-edge fraud management efforts in Toronto.
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📌 Manager of Fraud Detection Strategies at RBC (Ontario)
🏢 RBC
📍 Ontario