Winter 2027 Risk Data & AI Intern (4 Months)

0000050007 Royal Bank of Canada; Toronto; On-site; CAD 40,000 - 52,000; Full time

Job summary

Royal Bank of Canada in Toronto is seeking a Data & AI Analyst Intern for the Winter 2027 term. You will work on credit risk data, producing analyses and dashboards to inform strategic decisions within Group Risk Management.

You will support monthly/quarterly risk reporting, contribute to automation initiatives, and build end‑to‑end data lifecycle skills while exploring generative AI to improve risk insights for RBC stakeholders.

Qualifications

• Must-be Currently enrolled in a post‑secondary program in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance or Economics).
• Strong quantitative, analytical and problem‑solving skills, with a keen eye for detail and data accuracy.
• Working knowledge of Python and SQL, with the ability to query, manipulate and analyze large datasets.
• Working knowledge of a data visualization tool such as Tableau, and an instinct for presenting data clearly.
• Ability to draw conclusions from complex data and communicate them in plain business language to non‑technical partners.
• Strong MS Office skills, particularly Excel (advanced formulas and data manipulation), PowerPoint and Word.
• Strong organizational and time‑management skills, with the ability to balance recurring reporting deadlines against ad‑hoc requests.
• Intellectual curiosity and a self‑starter mindset — comfortable asking questions and learning new tools quickly.
• Nice‑to‑have Familiarity with the financial services industry, or exposure to credit risk concepts.
• Hands‑on experience with generative AI or LLM tools, including effective prompt engineering, and an interest in how AI agents and MCP integrations can be applied to real work.
• Familiarity with building HTML‑based or web dashboards.
• Exposure to large‑scale enterprise data environments, such as an Enterprise Data Warehouse (EDW), Enterprise Data Lake (EDL) or Hadoop‑based platforms.

Responsibilities

• Leverage credit risk and portfolio data to prepare clear, concise and insightful analysis on top and emerging risks and key trends within the BFS portfolio.
• Support the preparation of monthly and quarterly risk reporting for various stakeholders, and respond to ad-hoc analytics requests from partners across the business.
• Contribute to automation and modernization initiatives that make our reporting and analytics faster, more reliable and easier to consume.
• Build hands‑on skills across the full data lifecycle — extraction, transformation, aggregation, interpretation and recommendation — and grow your understanding of how credit risk data drives business decisions.
• Participate in analytics design sessions: contribute ideas, gather and document business requirements, and help shape the analytical framework behind effective risk management reporting.
• Explore and apply emerging industry‑leading tools and methods — including generative AI — to solve problems in new ways, and share what you learn across the team.
• Explore and apply emerging industry‑leading tools and methods — including generative AI — to solve problems in new ways, and share what you learn across the team.
• Familiarity with building HTML‑based or web dashboards.

Skills

Python

SQL

Analytical thinking

Communication

Excel

Problem solving

Generative AI familiarity

Education

Post-secondary program in quantitative discipline

Tools

Tableau

Hadoop

EDW/EDL

Job description

Royal Bank of Canada in Toronto is seeking a Data & AI Analyst Intern for the Winter 2027 term. You will work on credit risk data, producing analyses and dashboards to inform strategic decisions within Group Risk Management.

You will support monthly/quarterly risk reporting, contribute to automation initiatives, and build end‑to‑end data lifecycle skills while exploring generative AI to improve risk insights for RBC stakeholders.