2026 Fall - GRM, Data Science Intern (4 Months)

What is the opportunity?  

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector in order to create value for our clients, with capabilities ranging from LLM-powered digital banking, boosting ensembles in fraud detection and AML, voice assistants in customer service, to algorithmic trading in capital markets. A failure to effectively prepare for and manage emerging model risk related to AI would subject RBC to financial, regulatory, and reputational risks and, as a result, RBC would not be able to provide its clients with the best quality service. Therefore, the AI validation team within RBC's Enterprise Model Risk Management (RBC Group Risk Management) is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities. 

The AI validation team uses machine learning, statistical, and computational strategies to assess model risk. In doing so, RBC is able to identify model weaknesses early and enhance the reliability of production models across all lines of business.  

What will you do? 

Application: You will have the opportunity to work in any of the many areas we work in, across an even wider variety of business functions. 

Types of Models             

• Validation: Your role is to challenge models and identify risks associated with their use – both conceptually and empirically. To that end, you will design and execute validation frameworks, exploring modelling considerations such as conceptual soundness, data processing, metric reproducibility & stability, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more. You will also have the freedom to explore ideas that interest you and build your own models and tools 

• Research & Development: You will read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool. You are encouraged to apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others 

• IT: You will collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure 

• Governance: You will work with model developers (data scientists, researchers, engineers) and business stakeholders to inventory applications of AI and machine learning at the bank, determine their materiality, and assess whether they require review 

• Passionate about learning and staying up-to-date with research and technology. 

• Strong communication and interpersonal skills 

• Progress towards a PhD, Master's, or Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance, or a related quantitative field 

• Proficient programming skills in Python or a similar language; you should already be comfortable with writing research experiments and be willing to learn how to write clean code 

• Familiarity with popular machine learning frameworks and libraries 

• A risk-oriented mindset: You are curious about the "how" as well as the "why" 

• Publication or prior research experience (applied or fundamental) 

• Experience with version control systems 

• Comfortable with command line tools 

• Leaders who support your development through coaching and managing opportunities 

• Flexibility to work on projects that you are passionate about 

• Ability to make a difference and lasting impact 

• Work in a dynamic, collaborative, progressive, and high-performing team 

• Opportunities to do challenging work and make a difference 

• Opportunities to build close relationships 

Please note: This posting is for a 4-months Fall 2026 Student placement with a start date of September 2026, and end date of December 2026. 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 December 2026 ; or
• If you are not returning back to school (i.e. are graduating in December 2026), 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 May 17, 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.

ET26