Internship in Quantitative Risk Analysis

Explore a four-month internship with RBC as a Quantitative Risk Intern in Toronto, Ontario, focusing on advanced risk management and model development. This opportunity leverages AI and analytical tools to optimize data quality.

You will engage with cross-functional teams to contribute to capital markets trading and investment risk analysis. Collaborating on scenario design and evaluating model performance, you'll use your programming skills to enhance governance and support continuous improvements in risk processes. Adaptability and effective communication are key in this collaborative environment.

Key Responsibilities:

• Assist in creating and refining quantitative risk models

• Work with teams to improve scenario generation methodologies

• Monitor and assess model performance metrics

• Contribute to risk analysis tool automation

• Explore AI solutions for data quality enhancement

Requirements:

• Relevant experience in data analysis or quantitative analytics

• Broad understanding of traded products across asset classes

• Strong programming knowledge, particularly in Python

• Comfort with databases such as SQL and Tableau

• Ability to present complex information understandably

Develop your skills in quantitative risk analysis while contributing to RBC's effectiveness and governance.