About the role#
This is a four-month internship within the Group Risk Management team at RBC. You will work on stress testing analytics and explore how AI can improve risk management processes. This position runs from January 2027 to April 2027.
What you'll do#
- Build Python-based tools and automation to support stress testing and benchmarking.
- Apply generative AI and LLM tools to tasks like drafting narratives, generating code, and checking quality.
- Analyze stress testing data to explain credit losses and capital impacts.
- Create interactive dashboards and visualizations to help stakeholders interpret results.
- Help prototype AI-enabled platforms for risk monitoring.
- Participate in design sessions to document requirements and share findings with the team.
What you'll need#
- Current enrollment in a post-secondary program for Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance, or Economics.
- Working knowledge of Python to manipulate and validate large datasets.
- Proficiency in SQL for querying relational data.
- Hands-on experience with generative AI or LLM tools, including prompt engineering.
- Strong skills in MS Office, specifically Excel, PowerPoint, and Word.
- Ability to explain technical results to non-technical partners.
Location & details#
- Location: Toronto, Ontario.
- Work Modality: Hybrid.
- Employment Type: Full-time.
- Compensation: This is a paid position.
About RBC
RBC is a global financial institution based in Toronto, Ontario. It operates as Canada's largest bank and maintains a presence in the United States and 27 other countries. The company employs over 100,000 people and serves more than 17 million clients. Its business model covers banking, investing, insurance, and capital markets.
How to get in at RBC
Securing an internship at RBC requires speed and preparation. Because the bank receives a high volume of applications, timing is critical. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which helps you avoid getting lost in the system. Beyond speed, you should focus on networking with the right people. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to submitting a cold application.
