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 innovative 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 cutting-edge 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. #J-18808-Ljbffr