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

RBC; Toronto; On-site; CAD 40,000 - 52,000; Full time

Job summary

RBC is seeking a Data & AI Analyst Intern for the Winter 2027 term in Toronto, Ontario, within Group Risk Management. You will work with credit risk and financial data to deliver insights that support strategic decisions and risk governance.

You will learn the full data lifecycle with Python, SQL, Tableau, and Excel, contributing to risk reporting, automation projects, and the application of emerging AI tools to real business problems.

Qualifications

• Currently enrolled in a post-secondary program in a quantitative discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Finance or Economics.
• Strong quantitative, analytical and problem-solving skills with attention to data accuracy.
• Proficient in Python and SQL for querying, manipulating, and analyzing large datasets.
• Experience with data visualization tools such as Tableau and presenting data clearly.
• Ability to translate complex data into plain business language for non-technical partners.
• MS Office suite skills, especially Excel (advanced formulas), PowerPoint and Word.
• Strong organizational and time management skills, with ability to meet recurring deadlines and ad-hoc requests.
• Curiosity and a self-starter mindset; comfortable learning new tools quickly.

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.
• Participate in analytics design sessions: gather requirements and help shape the analytical framework behind risk reporting.
• Explore emerging tools and methods — including generative AI — to solve problems in new ways and share learnings.

Skills

Python

SQL

Tableau

Excel

PowerPoint

Analytical thinking

Communication

Problem solving

Time management

Self-motivation

Education

Post-secondary program in quantitative discipline

Tools

Tableau

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 escalate 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

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.

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.

ET27

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

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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.

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