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Added 5 mins ago
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Our world-class curriculum is built upon the Mathnasium Method™ - the result of decades of hands-on instruction and development - and has changed the lives of children since 2002.
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RBC

Associate Director, Global Risk Analytics

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 10, 2026
Posting language: English
Posted: Sep 29, 2026

Apply About employer

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Original job description

Job Description

What is the Opportunity?

As part of the Group Risk Management team, the Associate Director, Global Risk Analytics is responsible for the conceptual design, development, and ongoing maintenance of the mathematical models used for the measurement and capitalization of the market risk of RBC's trading portfolio.

This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's market risk and capital adequacy assessment for CCAR scenarios under the FRTB framework.

What will you do?

Work with model users to understand their business requirements.
Conduct research, review regulatory requirements and consult with industry stakeholders to evaluate best practices for modeling.
Make recommendations on model methodologies, and develop technical implementation, either for production usage or to serve as a prototype for benchmark testing.
Provide business requirements with technical implementation details and user acceptance criteria to technology teams for production deployment, and validate implementation using independently developed benchmark models.
Document model methodologies, implementation details and testing results, and work with internal validation to facilitate their approval of the models.
Develop tools to assess and monitor model performance, including assumptions and limitations, on an ongoing basis for reporting to the various model monitoring governance committees.
Investigate and remediate modeling issues identified through ongoing monitoring or by internal validation.
Re-assessment and testing of models, including assumptions and limitations and benchmarking against alternative models, and documentation of the results in models whitepapers and annual assessments for review by internal validation.

What do you need to succeed?

Must Have:

Broad knowledge of traded products across various asset classes, and knowledge of regulatory & internal risk management requirements for market risk and CCAR
Strong analytical and problem solving skills
Excellent programming skills (e.g., Python, MatLab)
Data management and analysis skills (SQL and Excel required)
Ability to work collaboratively to achieve team goals
Agility to adapt to changing circumstances in a dynamic environment
Strong English communication skills, both written and verbal, especially in the explanation of complex modeling concepts to senior management and regulators

Nice-to-Have:

Masters in Financial Engineering, or a degree in another quantitative subject such as physics, statistics, mathematics or mathematical finance and/or a relevant professional qualification, with concentration in quantitative methods and/or finance.
Experience in FRTB is considered a strong asset

What is in it for you?
We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
Opportunities to take on progressively greater accountabilities

Job Skills

Communication, Decision Making, Economic Analysis, Financial Engineering, Financial Instruments, Group Problem Solving, Investment Risk Management, Market Analysis, Market Risk, Risk Analytics, Risk Management, Statistics, Structured Query Language (SQL), Work Collaboratively

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:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-29

Application Deadline:

2026-10-10

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

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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More about this job

Responsibilities

The Associate Director is responsible for the design, development, and maintenance of mathematical models for market risk measurement and capital adequacy. They will also collaborate with technology teams for implementation and provide ongoing monitoring and reporting to governance committees.

Requirements

Candidates must have strong analytical skills, proficiency in Python, MatLab, and SQL, and deep knowledge of traded products and regulatory risk requirements. A postgraduate degree in a quantitative field such as financial engineering, physics, or mathematics is preferred.

Skills

Market risk
Risk analytics
Python
MatLab
SQL
Excel
Financial engineering
Quantitative methods
CCAR
FRTB
Data management
Mathematical modeling
Regulatory compliance
Communication
Problem solving
Financial instruments

Benefits

Bonuses
Flexible benefits
Competitive compensation

Visa sponsorship

Not detected in the job text

Keywords

Market risk
Risk analytics
Python
MatLab
SQL
Excel
Financial engineering
CCAR
FRTB
Quantitative methods
Mathematical modeling
Trading portfolio
Capital adequacy
Regulatory requirements
Data management
Benchmark testing
Risk management
Asset classes
Financial modeling
Statistics
Physics
Mathematics
Governance
Reporting
Model validation

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