Kick-start your career as a Quantitative Risk Intern with RBC in Toronto, Ontario. This role focuses on quantitative model development and risk analysis using advanced analytical tools and AI.
In this four-month student placement, you will collaborate with cross-functional teams to enhance risk management and governance. Your work includes supporting capital markets trading, market data evaluation, and automating risk analysis processes. Leveraging your programming skills and data visualization expertise, you'll contribute to optimizing risk management operations while adhering to quality standards.
Key Responsibilities:
• Develop quantitative models for risk management
• Collaborate with risk teams on scenario design
• Evaluate model performance and identify improvements




• Automate risk analysis infrastructure
• Drive continuous improvement through creative technologies
Requirements:
• Experience in data analysis or quantitative analytics
• Knowledge of traded products and asset classes
• Strong programming skills in Python
• Proficiency in SQL and data visualization tools
• Effective communication skills for presenting complex information
Enhance your analytical skills and contribute to RBC's risk management initiatives in this dynamic internship.
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📌 Quantitative Risk Intern at RBC (Toronto)
🏢 0000050007 Royal Bank of Canada
📍 Toronto