AI Model Risk Data Scientist

Position: AI Model Risk Data Scientist at RBC
Become an AI Model Risk Data Scientist at RBC, focusing on validating AI systems and ensuring robust risk management. Collaborate across departments to drive innovative banking solutions.

RBC's AI validation team is looking for a Data Scientist dedicated to understanding AI model risks and their implications. You will validate LLM applications and assist in identifying model weaknesses across a variety of business functions, including Insurance and Technology Operations. The focus will be on empirical analysis, conceptual challenges, and establishing best practices in data science.

Key Responsibilities:

• Assess risks of LLM-based applications and agentic systems

• Engage with internal teams for comprehensive model evaluation

• Identify modelling considerations like uncertainty and fairness

• Read and apply academic research to practice

• Collaborate on MLOps initiatives and promote best practices

Requirements:

• Pursuing a PhD or Master's in relevant quantitative fields

• Strong programming skills in Python

• Knowledge of LLMs and agentic AI frameworks

• Effective communication skills with a collaborative mindset

• Motivated to learn and innovate in AI

Expand your knowledge and impact in AI model validation at RBC.
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