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2027 Winter - GRM, Quantitative Risk Intern (4 Months)

Posted 11 Days Ago
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In-Office
Toronto, ON, CAN
Internship
In-Office
Toronto, ON, CAN
Internship
Supports quantitative risk model analysis and regulatory capital reporting across market and counterparty credit risk. Responsibilities include developing market data and scenario methodologies, evaluating model performance, benchmarking, automating risk analytics infrastructure, validating data quality with AI and machine learning, and coordinating agile delivery of risk solutions. The intern collaborates with business and risk teams and contributes to governance, process standardization, and continuous improvement.
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Job Description

What is the opportunity?

As a Quantitative Risk Intern, you will support the analysis and development of quantitative models used in internal risk management and regulatory capital reporting, leveraging AI and advanced analytical tools to enhance efficiency. In this role, you will assist with capital markets trading and investment portfolios across different asset classes. This includes collaborating with the business and risk teams to support risk scenario design and data quality control, which facilitates the bank's effective risk management and governance on market and counterparty credit risk model usage.

What will you do?

  • Work with model users to evaluate and develop market data and scenario generation methodologies for critical risk factors, balancing business enablement with adherence to data and risk management governance standards.
  • Evaluate model performance tracking metrics, identify optimization opportunities, and develop comparable benchmarking analyses to drive continuous improvement.
  • Support the development and automation of risk analysis infrastructure, standardizing processes and tools to enhance efficiency and consistency.
  • Drive continuous improvement by evaluating and implementing emerging technologies including machine learning and AI tools to enhance data quality validation and analytical capabilities.
  • Direct cross-functional agile teams in end-to-end delivery of risk and analytics solutions, ensuring alignment with business priorities and stakeholder expectations.

Must-have 

  • Working experience in data analysis or quantitative analytics.
  • Broad knowledge of traded products across various asset classes.
  • Strong analytical and independent problem-solving capabilities.
  • Excellent programming skills (Python or equivalent).
  • Proficiency in data management and visualization tools, including databases (SQL/Tableau).
  • Ability to collaborate effectively and contribute to team objectives.
  • Adaptability to changing circumstances in dynamic environments.
  • Excellent communication skills with the ability to simplify complex information clearly.

Nice-to-have

  • Prior experience in a trading or risk modeling role.
  • Proficiency in developing statistical models using complex, large-scale time series datasets.
  • Knowledge of current analytics technologies and architectural frameworks for design, development, and implementation.

Please note: This posting is for a 4-months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. In order to be eligible for this 4-months Student position, you must either:

  • Be returning back to school after the work term end-date of April 2027 ; or
  • If you are not returning back to school (i.e. are graduating in April 2027), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.

Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.

ET27

Job Skills

Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative

Additional Job Details

Address:

ROYAL BANK PLAZA, 200 BAY ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-27

Application Deadline:

2026-09-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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