2027 Winter - GRM, AI & Stress Testing Analytics Intern (4 Months)
RBC (early talent) — TORONTO, Ontario, Canada
Posted 2026-08-27
Job Description What will you do? Develop Python-based analytical tools and automation that support stress testing processes, results analysis and benchmarking Apply generative AI and LLM tools to real risk problems — scenario narrative drafting support, document and news analysis for emerging risk signals, code generation and quality checks, and automated report production Analyze stress testing outputs to explain drivers of projected credit losses and capital impacts, and prepare clear summaries for technical and non-technical stakeholders Build interactive dashboards and visualizations (Python, and HTML-based) that make stress testing results easier to interrogate and consume Contribute to prototyping work on AI-enabled risk monitoring and stress testing platforms — from gathering requirements through to testing and documentation Participate in design sessions with quantitative analysts and downstream users, contribute ideas, document requirements and share what you learn with the team What do you need to succeed? Must-have Currently enrolled in a post-secondary program in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Computer Science, Engineering, Finan