AI Model Risk Specialist

Position: AI Model Risk Specialist at RBC
Join RBC as an AI Model Risk Specialist, focusing on the validation of LLM-based applications and agentic AI systems. Leverage Python skills to assess model risks and enhance compliance.

This role is essential to RBC's Enterprise Model Risk Management team, where you will collaborate with departments like Internal Audit and Cybersecurity. You’ll validate various AI and machine learning models while ensuring conceptual soundness and implementation controls. Your passion for learning and research will help shape the future of AI within the banking industry.

Key Responsibilities:

• Collaborate with cross-functional business teams for model validation

• Validate LLM-based applications and traditional AI models

• Identify and challenge model risks empirically and conceptually

• Conduct research to enhance validation methods and tools

• Advocate for best practices in MLOps and IT infrastructure

Requirements:

• Pursuing a PhD or Master’s in a quantitative field

• Strong proficiency in Python and research scripts

• Familiarity with LLMs and agentic AI frameworks

• Excellent communication and interpersonal skills

• Curiosity about risk and methodology in AI models

Elevate your career by applying your skills in AI, risk management, and research at RBC.
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