2027 Winter - GRM, Local Market Risk Intern (4 Months)

About the role

Four-month Winter 2027 internship with RBC’s Group Risk Management Local Market Risk team in Toronto. The intern will support market risk oversight for Global Equities and Central Funding, monitor exposures and risk metrics, analyze trading strategies, coordinate projects, and improve processes through Python and AI tools.

Responsibilities

• Provide market risk oversight for Global Equities and Central Funding businesses in Canada.
• Support market risk reporting and ensure key risk metrics are accurate and timely.
• Analyze trading strategies and products against RBC’s risk tolerance and objectives.
• Monitor portfolios, markets, trading exposures, policies, limits, and significant transactions.
• Highlight relevant market themes and coordinate risk issues with trading teams and stakeholders.
• Support capital requirements, risk modernization, automation, and other project deliverables.

Program Details

• Four-month Winter 2027 student placement running from January 2027 through April 2027.
• The role is based in Toronto, Ontario, with specific virtual, hybrid, or office arrangements discussed with the hiring manager.
• The successful candidate must be located within Ontario throughout the work term.
• The position is full-time, with 37.5 hours per week, and is a fixed-term student/co-op role.

Eligibility

• Return to school after the work term ends in April 2027.
• Graduating in April 2027 candidates must require the full work term as a mandatory graduation component.
• Candidates who do not meet these requirements will not be considered.

Requirements

• Bachelor’s or master’s degree in finance, economics, or a quantitative subject.
• Education or related experience in risk management and knowledge of market risk concepts.
• Knowledge of vanilla derivatives across equity, fixed-income, and foreign-exchange asset classes.
• Proficiency in Python and SQL, with strong written and oral communication skills.
• Strong collaboration skills and a high level of curiosity.

Preferred Qualifications

• Experience working with complex datasets and multiple data sources for time-series analysis.
• Experience building tools for data visualization.
• Ability to learn and apply new concepts quickly.
• Additional strong technology experience with a proven track record.