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 collaborative 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.

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.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

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

Additional Job Details

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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.