Shape the future of fraud detection at RBC as a Manager focused on advanced analytics techniques. Your role will be pivotal in balancing fraud risk reduction and client satisfaction.
As the Manager for Fraud Detection & Optimization, you will spearhead the development of cutting-edge fraud detection strategies using data-driven insights. You’ll collaborate with various stakeholders to enhance fraud analytics processes and support multiple teams with your expertise and leadership.
Key Responsibilities:
• Develop innovative methodologies for effective fraud detection
• Collaborate on machine learning initiatives impacting fraud strategies
• Monitor and optimize existing detection strategies for efficiency
• Manage prioritization of fraud alerts and rule verification
• Contribute to best practices in Fraud Management initiatives
Requirements:
• 3+ years’ experience in analytics or data science roles
• Strong skills in R, SQL, Python, or relevant programming languages
• Solid analytical and critical thinking capabilities
• Excellent presentation and communication skills
• Degree in mathematics or related quantitative field
Contribute to RBC's vision in fraud detection and optimization in Toronto.
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