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 creative 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.

📌 RBC Fraud Detection and Optimization Manager (Toronto)
🏢 Socket.dev
📍 Toronto