AI-Driven Quantitative Risk Intern

RBC; Toronto; Hybrid; CAD 11,000 - 13,000; Full time

Job summary

RBC is seeking a Quantitative Risk Intern for a 4-month winter 2027 student placement in Toronto, Ontario. You will support the analysis and development of quantitative models used in risk management and regulatory reporting, leveraging AI tools to improve efficiency and data quality.

You will collaborate with risk and business teams on market and counterparty risk, contribute to data governance, and help automate risk analysis infrastructure while gaining exposure to multiple asset classes and

Qualifications

• Experience in data analysis or quantitative analytics.
• Knowledge of traded products across asset classes.
• Strong analytical and problem-solving skills.
• Proficient in Python or similar.
• Experience with SQL/Tableau data tools.
• Able to collaborate with others and contribute to team goals.

Responsibilities

• Support analysis and development of quantitative models for risk management and regulatory reporting.
• Assist with capital markets trading and portfolios across asset classes.
• Collaborate with risk teams to design risk scenarios and ensure data quality.
• Help develop automation of risk analysis infrastructure and standardize tools.
• Explore and implement emerging technologies including ML/AI to enhance data validation and analytics.

Skills

Data analysis

Traded products knowledge

Analytical skills

Python

SQL/Tableau

Team collaboration

Adaptability

Communication

Trading risk exposure

Time series modeling

Analytics frameworks

Tools

SQL

Tableau

Job description

RBC is seeking a Quantitative Risk Intern for a 4-month winter 2027 student placement in Toronto, Ontario. You will support the analysis and development of quantitative models used in risk management and regulatory reporting, leveraging AI tools to improve efficiency and data quality.

You will collaborate with risk and business teams on market and counterparty risk, contribute to data governance, and help automate risk analysis infrastructure while gaining exposure to multiple asset classes and