Royal Bank of Canada·13 days ago
13 days ago
Data Scientist, AI Model Risk
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What you'll do
- assess and manage model risk for AI applications within RBC
- collaborate across business functions
- validate LLM-based and traditional AI models
- contribute to model risk management
What they're looking for
- strong programming skills
- passion for quantitative research
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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 programming
- machine learning
- artificial intelligence
- model risk management
- natural language processing
- reinforcement learning
- classification models
- regression models
- anomaly detection
- risk management
- statistical analysis
- quantitative methods
- llm frameworks
- mlops
- benchmarking
- uncertainty quantification
- fairness analysis
- privacy analysis
- explainability analysis
- implementation controls
- version control systems
- command line tools
- research experimentation
- software development
- stakeholder collaboration
- interpersonal skills
- critical thinking
Company
Royal Bank of Canada
Vancouver, Canada
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