Drive innovation in AI risk management at RBC as a Data Scientist focused on validating LLM applications. Collaborate cross-functionally while mitigating emerging model risks across banking applications.
As a Data Scientist in RBC’s AI validation team, you are integral to ensuring robust risk assessment of AI models. This role combines validation of LLM-based applications and traditional machine learning models, including anomaly detection and NLP. Your insights will enhance model stability, fairness, and explainability, ultimately supporting RBC's commitment to high-quality client service.
Key Responsibilities:



- Collaborate with business functions like Cybersecurity and Fraud Management - Validate LLM-based applications and traditional machine learning systems - Assess risks associated with AI model implementation accurately - Read research papers and apply findings to real-world challenges - Promote best practices in MLOps and IT infrastructure
Requirements: - Progress towards a PhD or Master’s degree in a quantitative field - Proficient in Python with hands-on coding experience - Familiarity with popular LLMs and agentic frameworks - Robust communication and interpersonal skills - Passionate about research and technology trends
Contribute to cutting-edge AI model validation at RBC and strengthen risk management across banking.#J-18808-Ljbffr

📌 Ai Model Risk Scientist At Rbc Winnipeg
🏢 Socket.dev
📍 Winnipeg