Join RBC as a Fraud Detection Manager, leading efforts in analytics and strategic optimization. Focus on developing effective fraud detection strategies while ensuring positive client interactions.

As the Manager of Fraud Detection & Optimization, you'll leverage advanced analytical methodologies to reduce fraud risks and losses. You'll work on various projects, collaborating with stakeholders and data science teams to enhance detection processes while maintaining operational cost efficiency.

Key Responsibilities:
• Innovate new techniques for fraud detection strategy development
• Work with data science on impactful machine learning projects
• Optimize fraud detection strategies for various channels and products




• Analyze performance metrics and enhance existing detection tools
• Prioritize alerts and ensure effectiveness of detection rules

Requirements:
• Minimum 3 years’ experience in analytics or data science
• Expertise in analytical software and programming languages like Python
• Proven ability to communicate analytical insights clearly
• Solid leadership skills for managing complex discussions
• Relevant degree in quantitative discipline like statistics

Lead RBC's efforts in impactful fraud detection and optimization in Toronto.
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📌 Fraud Detection Manager Role at RBC (Ontario)
🏢 Socket.dev
📍 Ontario