2027 Winter - GRM, Portfolio Risk Data & AI Analyst Intern (4 Months)

ODAIA; Toronto; Hybrid; CAD 38,000 - 48,000; Full time

Job summary

RBC's Portfolio Risk Oversight (PRO) team within Group Risk Management is hiring a Data & AI Analyst Intern for the Winter 2027 term in Toronto. You will work hands-on with credit risk and financial data to deliver insights that support strategic decisions and strengthen risk management practices.

You will build analytics across the data lifecycle, support monthly and quarterly risk reporting, contribute to automation initiatives, and explore advanced tools including generative AI to solve real

Qualifications

• Enrolled in a post-secondary program in a quantitative field (e.g., Data Science, Statistics, CS).
• Strong quantitative, analytical and problem-solving skills with attention to data accuracy.
• Working knowledge of Python and SQL to query and analyze large datasets.
• Experience with Tableau for data visualization and presenting data clearly.
• Proficient in Excel, PowerPoint and Word.
• Able to translate data insights into plain business language.

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

Skills

Python

SQL

Tableau

Excel

PowerPoint

Word

MS Office

Education

Post-secondary program in quantitative discipline

Tools

Tableau

Job description

Job Description

What is the opportunity?

RBC's Portfolio Risk Oversight (PRO) team within Group Risk Management (GRM) is hiring a Data & AI Analyst Intern for the Winter 2027 term. Our team objectively assess and elevate credit risks across Business and Commercial Banking, deliver detailed portfolio analysis that supports strategic decision-making, maintain best-in-class data capabilities, and respond to ad-hoc data and analytics requests from stakeholders across the organization.

Working hands-on with credit risk and financial data, you will help create and deliver superior risk management insights that grow profitable business, shape prudent risk guidelines and policy, and create sustainable value for RBC shareholders. If you enjoy solving real problems with data, and experimenting with emerging technology, this is a term where your work will be visible and will matter.

What will you do?

• 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

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, 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

Please note:

This posting is for a 4-months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. In order to be eligible for this 4-months Student position, you must either:

• Be returning back to school after the work term end-date of April 2027 ; or
• If you are not returning back to school (i.e. are graduating in April 2027), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

Job Skills

• Communication
• Computer Literacy
• Detail-Oriented
• Interpersonal Relationships
• Listening Effectively
• Personal Development
• Personal Initiative

Additional Job Details

• Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: GROUP RISK MANAGEMENT
• Job Type: Student/Coop (Fixed Term)
• Pay Type: Salaried
• Posted Date: 2026-08-20
• Application Deadline: 2026-09-21

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.