What is the opportunity?

At RBC’s 2025 Investor Day, we reaffirmed our strategic ambition to become a client-centric, future-ready leader by harnessing data, digital innovation, and AI to deliver unparalleled value. Our commitment to technological excellence—recognized globally as a top-three bank for AI maturity—positions us at the forefront of an AI-informed banking era. With a bold goal to generate up to $1 billion in enterprise value from AI by 2027, we are accelerating investments in transformative technologies to redefine industry standards.

To fuel this vision, we are seeking a highly motivated Winter Summer Intern to join our team and contribute to cutting-edge projects in advanced analytics for risk management. This role offers a unique opportunity to apply data science and software engineering skills support the business development of in real-world AI applications, directly impacting risk management workflows through solutions like generative AI, machine learning, and deep learning. As part of our dynamic team, you will collaborate on projects that drive efficiency, automation, and strategic business value—playing a key role in shaping the future of RBC’s AI-driven innovation.

What will you do?

• Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment. Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment.
• Focus on building real-world applications that address business challenges, rather than conducting pure research.
• Work closely with business users to understand their needs, translate business use cases into practical technical problems, and iterate on solutions based on feedback.
• Design executive presentations, develop strategy and create communications for your project.
• Continuously learn and keep up with the latest advancements in AI and related technologies, sharing knowledge with the team.
• Play an integral role in engaging your critical thinking, time management and leadership skills within your team.

What do you need to succeed?

Must-have

• Hands-on experience with prompt engineering, including designing and refining prompts to optimize LLM outputs.

• Hands-on experience developing modular, robust, and scalable software in Python 3.x.
• Knowledge of modular RAG (Retrieval-Augmented Generation) and agentic systems.
• Knowledge of professional software engineering best practices across the software development lifecycle, including coding standards, testing methods, code reviews, and version control.
• Knowledge of machine learning and deep learning algorithms (e.g., supervised methods such as decision trees, gradient boosting, deep neural networks; unsupervised methods such as clustering and dimensionality reduction), as well as natural language processing techniques (e.g., TF-IDF, transformer models, embedding models).
• Demonstrated willingness and ability to quickly learn and adapt to new advancements in Machine Learning/Deep Learning/GenAI.
• Ability to understand and communicate business values. 
• Excellent interpersonal and highly developed communication skills (verbal and written). 
• Excellent critical thinking, time management and leadership skills. 
• Creative and analytical thinker who is self-driven and capable of working in a fast-paced team environment. 
• Ability to challenge the status quo and think outside the box to develop solutions. 
• Excellent teamwork, collaboration and problem-solving skills. 
• Experience with business presentations. 
• A master’s degree or higher in business administration, commerce, computer science, engineering, statistics, or a related field is preferred

Nice-to-have

• Experience in stakeholder engagement and working with end users and clients to understand their needs. 

• Experience with user research, prototyping, wireframing, and/or experience mapping (creating journey maps, personas, and service blueprints). 

• Experience with project management tools (ex. Jira, Confluence) 

• Solid understanding of financial business insights, FinTech industry, startup industry or other related insights. 

• Interest and understanding of up-and-coming technology and methodologies.  

• Knowledge of embedding model fine-tuning, Model Context Protocol (MCP), LLM performance evaluation.
• Experience deploying GenAI applications in production environments and supporting enterprise-scale use cases.
• Hands-on experience implementing solutions using modern ML/DL frameworks and tools, such as PyTorch, JAX, TensorFlow, scikit-learn, or Hugging Face Transformers.
• Experience working in regulated or governed environments.
• Familiarity with financial risk management concepts.

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

RBC CENTRE, 155 WELLINGTON ST W:TORONTOTorontoCanada37.5Full timeGROUP RISK MANAGEMENTStudent/Coop (Fixed Term)Salaried2026-08-252026-08-29

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.