Enhance your skills as a Quantitative Risk Intern with RBC in Toronto, Canada. Dive into quantitative modeling for risk management using AI and analytical tools.
This is a four-month Winter 2027 Student placement, starting in January. You will analyze and develop models for regulatory capital reporting while collaborating with diverse business and risk teams. Your tasks will include capital markets trading support and maintaining data quality control for improved risk governance.
Key Responsibilities:
• Evaluate and develop scenario generation methodologies
• Analyze model performance metrics for optimization
• Support automation of risk analysis infrastructure
• Implement emerging technologies to enhance data validation
• Lead agile teams in delivering analytics solutions
Requirements:
• Experience in data analysis or quantitative analytics
• Knowledge of traded products and asset classes
• Solid programming skills in Python or similar
• Proficiency in SQL/Tableau for data visualization
• Excellent communication and problem-solving abilities
Utilize your analytical skills and programming expertise in the dynamic environment offered by RBC.
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📌 Quantitative Risk Intern at RBC (Toronto)
🏢 RBC
📍 Toronto