Data Scientist, AI Model Risk

We are looking for a Data Scientist, AI Model Risk to assess and manage model risk for AI applications within RBC. Collaborate across business functions, validate LLM-based and traditional AI models, and contribute to model risk management. Ideal for candidates with strong programming skills and a passion for quantitative research.

Skills

• python
• machine learning
• artificial intelligence
• model validation
• natural language processing
• reinforcement learning
• statistical analysis
• risk management
• quantitative methods
• classification
• regression analysis
• anomaly detection
• recommendation systems
• mlops
• model risk management
• benchmarking
• uncertainty quantification
• fairness analysis
• privacy analysis
• explainability
• implementation controls
• version control
• command line tools
• machine learning frameworks
• research experimentation
• software development
• stakeholder collaboration