Job Description
What will you do?

Develop Python-based analytical tools and automation that support stress testing processes, results analysis and benchmarking

Apply generative AI and LLM tools to real risk problems — scenario narrative drafting support, document and news analysis for emerging risk signals, code generation and quality checks, and automated report production

Analyze stress testing outputs to explain drivers of projected credit losses and capital impacts, and prepare clear summaries for technical and non-technical stakeholders

Build interactive dashboards and visualizations (Python, and HTML-based) that make stress testing results easier to interrogate and consume

Contribute to prototyping work on AI-enabled risk monitoring and stress testing platforms — from gathering requirements through to testing and documentation

Participate in design sessions with quantitative analysts and downstream users, contribute ideas, document requirements and share what you learn with 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)

Working knowledge of Python, with the ability to manipulate, analyze and validate large datasets

Working knowledge of SQL and comfort querying relational data

Strong quantitative, analytical and problem-solving skills, with careful attention to detail and data accuracy

Hands‑on experience with generative AI or LLM tools, including effective prompt engineering

Strong MS Office skills, particularly Excel (advanced formulas and data manipulation), PowerPoint and Word

Intellectual curiosity and a self‑starter mindset — comfortable asking questions and picking up new tools quickly

Nice-to-have

Exposure to credit risk, macroeconomics or econometrics coursework, including regression, time series or forecasting techniques

Familiarity with stress testing or regulatory capital concepts (CCAR, IFRS 9, Basel)





Interest in how AI agents, retrieval‑augmented generation and MCP integrations can be applied to production analytics workflows

Experience with data visualization tools such as Tableau, or building HTML‑based or web dashboards

Exposure to SAS, R, or large‑scale enterprise data environments

Familiarity with version control and cooperative development practices (Git)

Ability to explain technical results in plain business language to non‑technical partners

Strong organizational and time management skills, with the ability to balance recurring deliverables against ad‑hoc requests

What’s in it for you?

Direct exposure to how a global bank measures resilience under stress, and to the regulatory programs that shape it

Mentorship from a team of quantitative and technical experts, with visibility to senior risk management stakeholders

A dynamic, collaborative and high‑performing team that invests in developing its students

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 arrangementsfor this Integrated Learning/ Co‑op position are to be discussed with the Hiring Manager.

ET27

Job Skills
Analytical Tools, Analytics, Benchmarking, Communication, Computer Literacy, Detail‑Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Risk Management, Risk Monitoring, Visualizations

Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W: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:
2026-08-27

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well‑being of our clients and communities at jobs.rbc.com.

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📌 2027 Winter - GRM, AI & Stress Testing Analytics Intern (4 Months) (Ontario)
🏢 RBC
📍 Ontario