Join RBC as a Data Scientist specializing in AI model risk management in Vancouver, Canada. Conduct rigorous validation of LLM applications and enhance AI reliability through cooperative efforts. This full-time chance supports RBC's goal of maintaining a leader's stance in AI within banking. You will apply machine learning techniques to validate various models and identify risks crucial for operational excellence.

Your role enables meaningful collaboration with teams from Internal Audit to Cybersecurity, fostering a broader understanding of AI impacts across the organization. Key Responsibilities:
Validate models for agentic AI and LLM applications
Identify empirical risks in AI systems and processes
Explore metrics like fairness and explainability in models




Contribute to the development of reusable validation tools
Work with stakeholders on best practices in MLOps Requirements:
Pursuing advanced studies in Statistics, Computer Science, or related fields
Proficient in Python programming and interested in LLMs
Robust interpersonal skills for cross-team collaboration
Passionate about AI research and practical applications
Familiarity with machine learning frameworks and tools Shape the future of AI at RBC as you leverage your expertise in model risk and contribute to an innovative financial landscape.

📌 Rbc Ai Risk Data Scientist Role Vancouver
🏢 RBC
📍 Vancouver