Group Risk Management(GRM) Policy, Process and Strategy team is responsible for providing oversight for multiple risk models and credit strategies, and we are looking for a motivated university student to contribute to our data analysis efforts. You will learn about Risk Management within the context of strategic initiatives coming to life

Build reports in support of credit risk issues and enhance monitoring framework

Review reports, existing strategies and models, identify potential opportunities and concerning trends, and/or conduct deep dive analysis to drive actionable insights to improve strategy performance

Utilize Python and data analysis libraries (Pands, Numpy, and many more), and/or Tableau to analyze large datasets and generate meaningful insights

Support data quality checks and validation processes to ensure the accuracy and reliability of data used in analysis





Participate in meetings and gather information/requirements to support team members and business partners with data and insights

Currently enrolled at a Canadian post-secondary institution with a focus on mathematics, statistics, computer science, computer engineering, economics, or a related quantitative field

Advanced Programming skills in Python and R, especially, Packages like, Pandas, Numpy, Plotly, Matplotllib, Seaborn, etc.

Understanding of Relational Database (and SQL), Hadoop ecosystem, and data visualization tools.

Ability to perform complex data analysis.

Solid problem-solving abilities with a keen attention to details and a passion for data-driven decision making

A risk-oriented mindset:

📌 Stagiaire Informatique Data analyst (H/F) (Toronto)
🏢 Royal Bank of Canada
📍 Toronto