Job Description
RBC is a global leader in applying Artificial Intelligence (AI) in the banking sector to create value for our clients.
Its capabilities range 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 manage emerging model risk related to AI would expose RBC to financial, regulatory and reputational risks.
The AI validation team within RBC’s Enterprise Model Risk Management is tasked with overseeing, assessing, and managing the model risk that may arise from these AI capabilities.
What will you do?
Application: You will have the opportunity to work across many business functions, including Internal Audit, Cybersecurity, Fraud Management, Anti‑Money Laundering, Insurance, Credit Risk, Technology Operations, Identity & Access Management and Human Resources.
Types of Models: Classification, regression, anomaly detection, natural language processing, computer vision, reinforcement learning, recommendation systems, dimensionality reduction, Large Language Models including generative AI.
Validation: Design and execute validation frameworks, evaluating conceptual soundness, data processing, metric reproducibility, benchmarking, robustness, uncertainty quantification, fairness, privacy, explainability, implementation controls and more.
Research & Development: Read research papers to enhance validation practices, develop reusable software packages and share insights.
IT: Collaborate to establish best‑practices related to MLOps, tooling and IT infrastructure.
Governance: Work with model developers and business stakeholders to inventory AI applications, determine materiality and assess review needs.
What do you need to succeed?
Must‑have
Passionate about learning and staying up‑to‑date with research and technology
Strong communication and interpersonal skills
Progress toward a PhD or Master’s degree in Statistics, Computer Science, Applied Mathematics, Econometrics, Engineering, Quantitative Finance or a related field
Proficient programming skills in Python or a similar language; comfortable writing research experiments and learning clean code practices
Familiarity with popular machine learning frameworks and libraries
Nice‑to‑have
Risk‑oriented mindset: curious about the “how” and “why”
Publication or prior research experience (applied or fundamental)
Experience with version control systems
Comfortable with command line tools
What’s in it for you?
Leaders who support your development through coaching and management opportunities
Flexibility to work on projects that interest you
Ability to make a lasting impact
Work in a dynamic, collaborative, progressive, and high‑performing team
Opportunities for challenging work and strong relationships
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Job Skills
Client Counseling
Communication
Critical Thinking
Financial Instruments
Group Problem Solving
Investment Risk Management
Market Risk
Quantitative Methods
Risk Management
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: Regular
Pay Type: Salaried
Posted Date: 2026-03-16
Application Deadline: 2026-03-31
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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 guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence, and winning together as One RBC.
We believe an inclusive workplace with diverse perspectives is core to our continued growth.
Maintaining a workplace where employees feel supported is essential to deliver our purpose to clients and communities.
RBC is presently inviting candidates to apply for this existing vacancy.
Qualified applicants may be contacted to review their resume in more detail.
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