RB
Programme
Internship
Location
Toronto
Duration
4 months (January to April 2027)
Deadline
2026-09-21
About the role
Join RBC's Group Risk Management team as a Winter 2027 intern to explore AI applications in market and counterparty credit risk policy development. This 4-month internship involves prototyping AI/ML solutions and conducting deep analytical research to support risk policy management.
Role and Responsibilities
- Collaborate with team to translate business problems into analytical solutions and communicate findings.
- Prototype and experiment with AI technologies including LLMs, generative AI, and MCP integrations.
- Conduct deep-dive analyses to uncover patterns and generate actionable insights.
- Facilitate automation of business workflows and processes.
Requirements - Must Have
- Hands-on experience with LLMs, prompt engineering, and generative AI applications.
- Strong problem-solving skills to translate business questions into analytical approaches.
- Excellent communication skills for explaining technical concepts to non-technical stakeholders.
- Self-directed learner with curiosity about emerging AI/ML technologies.
Requirements - Nice to Have
- Background in Computer Science, Statistics, Information Systems, Physics, Finance, or Risk Management.
- Experience with coding and data analysis using Generative AI.
- Proficiency in Python for data analysis, machine learning, and automation.
- Understanding of API integration and Model Context Protocol (MCP).
- Experience with version control (Git) and collaborative development workflows.
- Experience with cloud platforms and modern data stacks.
Program Details
- 4-month Winter 2027 student placement from January to April 2027.
- Eligibility requires returning to school after April 2027 or needing the full 4-month term to graduate.
- Work hours: 37.5 hours per week, full-time employment type.
- Location: Toronto, Ontario, Canada; must be located within Ontario during the term.
- Application deadline: 2026-09-21.