AI Model Risk Data Scientist at RBC

Become a pivotal part of RBC's AI validation team as a Data Scientist focusing on model risk management. Help mitigate financial and regulatory risks through strong analytical and programming skills.
As a key member of RBC's Enterprise Model Risk Management, your role as Data Scientist will involve challenging models in areas like fraud detection and algorithmic trading. You will design validation frameworks, considering aspects such as conceptual soundness and reproducibility. Your work will play a crucial role in enhancing the reliability of AI models across various business functions.
Key Responsibilities:
• Evaluate model weaknesses and risks conceptually and empirically
• Create validation frameworks exploring key model considerations
• Conduct research to refine model validation techniques
• Collaborate with stakeholders on MLOps and IT best practices
• Inventory AI applications for review and assessment
Requirements:
• Near completion of a PhD or Maste...