RB
Royal Bank of CanadaToronto

Winter 2027 - GRM, BSLR Liquidity Data & AI Intern (4 Months)

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Programme

Internship

Location

Toronto

Duration

4 months

Deadline

2026-09-21

About the role

Join RBC's Group Risk Management team as a Data & AI Intern to design AI/ML solutions for liquidity risk management in a regulated, data-rich environment. This 4-month winter internship starts January 2027 in Toronto.

Role and Responsibilities

  • Design, build, and deploy AI models including large language models to solve business problems.
  • Collaborate with data engineers to ensure AI solutions use scalable, modern data infrastructure.
  • Work with stakeholders, data scientists, and engineers to align AI initiatives with goals.
  • Utilize latest technologies and tools to develop data and AI solutions.
  • Continuously seek new tools, technologies, and processes to improve work.
  • Contribute actively to team and RBC's broader development community.

Requirements

  • Currently enrolled in Canadian post-secondary institution in data science, computer science, math, statistics, or machine learning.
  • Programming skills in Python.
  • Hands-on experience with AI/ML development.
  • Familiarity with AI coding assistants like GitHub Copilot or Claude Code.
  • Creative, analytical, self-driven, and able to work in fast-paced environment.
  • Excellent verbal and written communication skills.

Preferred Qualifications

  • Knowledge of financial or risk management domain.
  • Ability to quickly learn and apply new business and system concepts.

Program Details

  • 4-month winter internship from January to April 2027.
  • Must return to school after internship or require full 4-month term to graduate.
  • Located in Ontario for duration of work term.
  • Full-time, salaried position with 37.5 hours per week.

Application Information

  • Applications accepted on rolling basis until 2026-09-21 11:59 PM.
  • Candidates will be contacted if selected for next steps.
  • Check application status via RBC profile.

Benefits

  • Work on AI adoption and application in a leading financial institution.
  • Mentorship from experienced professionals.
  • Collaborative and innovative team culture.