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Internship, Full-time
bachelor degree
Posted 6d ago
Apply by Sep 21
~38 hrs/week
Responsibilities
The intern will collaborate with the team to prototype and experiment with emerging AI technologies like LLMs and MCP to solve policy development challenges. They will also conduct deep-dive exploratory analyses to uncover hidden patterns and facilitate the automation of business workflows.
Requirements
Candidates must have hands-on experience with LLMs, prompt engineering, and generative AI applications, along with strong problem-solving and communication skills. A background in a quantitative field such as Computer Science, Statistics, or Finance is preferred.
Full job description
Job Description
What is the Opportunity?
The Group Risk Management (GRM) - Market and Counterparty Credit Risk (MCCR) Policy team partners with key stakeholders and senior management to establish and oversee market, counterparty credit and liquidity risk policies that guide RBC’s operations and decision-making.
GRM-MCCR Policy team is seeking an intern to join our team to push the boundaries of AI applications with policy development and management through cutting-edge AI/ML prototyping, traditional machine learning, and deep analytical exploration.
You're a technically versatile professional who thrives at the intersection of business workflows, experimentation, and production. You're equally comfortable prototyping with Large Language Models (LLMs) and Model Context Protocol (MCP) as you are building or conducting deep-dive exploratory analyses. You can translate ambiguous business challenges into concrete technical solutions and communicate insights effectively through storytelling to stakeholders.
What will you do?
Collaborate with team members to understand business problems, translate them into analytical approaches, and communicate findings.
Prototype and experiment with emerging AI technologies including LLMs, generative AI, and MCP integrations to solve policy development and management challenges.
Conduct deep-dive exploratory analyses to uncover hidden patterns and insights to generate actionable insights.
Facilitate the automation of business workflows and processes.
What do you need to succeed?
Must have:
Hands-on experience LLMs, prompt engineering, and generative AI applications
Strong problem-solving skills and ability to translate business questions into analytical approaches
Excellent communication skills to explain technical concepts to non-technical stakeholders
Self-directed learner with curiosity about emerging AI/ML technologies
Nice-to-have:
Background in Computer Science, Statistics, Information Systems, Physics, Finance, Risk Management, or related quantitative field.
Experience with coding and data analysis using Generative AI.
Strong proficiency in Python for data analysis, ML, and automation.
Understanding of API integration and Model Context Protocol (MCP).
Experience with version control (Git) and collaborative development workflows.
Experience with cloud platforms and modern data stacks.
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
Job Skills
Artificial Intelligence (AI), Collaboration, Communication, Data Analysis, Detail-Oriented, Interpersonal Relationships, Large Language Models (LLMs), Listening Effectively, Personal Development, Personal Initiative, Problem Solving, Prompt Engineering
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:
2026-08-18
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.
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.
Related keywords
Artificial IntelligenceLarge Language ModelsGenerative AIPrompt EngineeringPythonMachine LearningModel Context ProtocolData AnalysisRisk ManagementAutomationAPI IntegrationGitCloud PlatformsComputer ScienceStatisticsInformation Systems
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com.
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La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
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