2026 CFO, Fall Data Scientist (8 months)

About this role

Job Description

What is the Opportunity?

Join RBC's AI & Advanced Treasury Analytics Team—a pioneering group within Corporate Treasury bringing cutting-edge AI tools to life for Treasury professionals. You'll work on an Agentic Treasury chatbot, build predictive models for liquidity surveillance, and develop natural language interfaces that democratize data access for executives. This is a unique opportunity to apply generative AI, RAG systems, and advanced analytics to solve historically intractable liquidity challenges alongside experienced data scientists and in partnership with Queen's University's Master of Management of AI program.

What will you do?

• Contribute to building an Agentic Generative AI chatbot capable of analyzing treasury memos, research, model white papers, policies, and regulatory guidelines
• Develop natural language query interfaces that allow users to access data without needing SQL knowledge or complex data schemas
• Support predictive modeling initiatives including liquidity surveillance, behavioral change detection, and rate sensitivity analysis
• Work on NLP tools to extract key risk attributes from legal documentation
• Build dynamic dashboards and visualizations that bring the Treasury story to life and highlight anomalous patterns in real-time
• Collaborate with cross-functional partners across Technology & Operations, Finance, Risk Management, and business channels including Borealis, Lumina, Maven, and other RBC AI teams

What do you need to succeed?

Must-have

• Currently pursuing a bachelor's or master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Economics, or a related quantitative field
• Proficiency in Python and experience with AI/ML libraries (TensorFlow, PyTorch, or Scikit-learn)
• Experience with Agentic AI frameworks and patterns (function calling, tool use, multi-step reasoning)
• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, Semantic...