Description
RBC is hiring a Data Scientist to manage AI model risks, focusing on LLM validations and enhancing banking AI capabilities. Collaborate with cross-functional teams to shape industry standards.<br/><br/>As part of RBCs AI validation team, you will validate models used in AI-driven banking solutions. This role requires collaboration across departments including Internal Audit and Cybersecurity, aimed at identifying and mitigating model risks. Youll contribute to research, developing tools, and applying best practices for efficient model risk management.<br/><br/>Key Responsibilities:
• Validate LLM-based applications and traditional ML models
• Collaborate with stakeholders to evaluate and improve models
• Conduct assessments focusing on empirical stability and fairness
• Read cutting-edge research to enhance validation practices
• Establish MLOps guidelines for optimal model deployment<br/><br/>Requirements:
• Advanced studies in Statistics, Computer Science, or related fields
• Python programming proficiency and coding experience
• Familiarity with AI frameworks and machine learning tools
• Strong interpersonal skills and curiosity for tech innovation
• Passion for continuous learning in AI developments<br/><br/>Join RBC to influence AI risk management and contribute to standout banking solutions.
