Join RBC as a Quantitative Risk Intern and gain hands-on experience in Toronto, Ontario. This role emphasizes model development and scenario analysis for risk management and regulatory reporting.
This 4-month internship allows you to support capital markets trading and investment portfolios across various asset classes. You will collaborate with stakeholders to evaluate methodologies, benchmark analytical processes, and enhance data quality using AI tools. Prepare to apply your analytical mindset to develop innovative solutions that ensure effective risk management.
Key Responsibilities:
• Analyze and develop risk models for trading activities
• Collaborate on data and scenario generation methodologies




• Track model performance and propose optimizations
• Standardize risk analysis processes and tools
• Implement AI technologies to validate data quality
Requirements:
• Background in data analysis or quantitative analytics
• Familiarity with a range of traded products
• Robust analytical and problem-solving abilities
• Proficient in Python programming
• Excellent communication skills for simplifying complex concepts
Elevate your quantitative skills and drive impactful risk management solutions at RBC.
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📌 RBC Quantitative Risk Student Role (Toronto)
🏢 0000050007 Royal Bank of Canada
📍 Toronto