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

Royal Bank of Canada • Toronto, ON

7d • Hybrid

About The Position

RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector. 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• Explore ideas that interest you and build your own models and tools.
• Read research papers (established work and state-of-the-art) to enhance how our team validates models and contribute to our knowledge pool.
• Apply what you've learned to real-world problems, develop reusable software packages, and share your insights with others.
• Collaborate with cross-functional stakeholders to establish and promote best-practices related to MLOps, tooling and IT infrastructure.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 101-250 employees