Director, Global Quantitative Risk Modeling

Socket.dev; Toronto; On-site; CAD 180,000 - 240,000; Full time

Benefits offered by this job

Total rewards program

Bonuses and flexible benefits

Coaching for development

Interface with executives

Job summary

RBC in Toronto is seeking a Director, Risk Models - Global Risk Analytics to lead the design, development, and maintenance of mathematical models used in regulatory stress testing and capital adequacy assessments from a trading and market risk perspective. You will oversee methodologies, validation, and governance while driving cross-functional collaboration with senior stakeholders.

The role requires strong leadership, expertise in quant models, and the ability to translate complex concepts to

Qualifications

• Broad knowledge of traded products across asset classes.
• Strong analytical and problem solving skills.
• Excellent programming skills (Python).
• Strong data management and analysis skills (SQL and Excel).
• Ability to work collaboratively to achieve team goals.
• Agility to adapt to changing circumstances in a dynamic environment.
• Experience managing a team.
• Strong English communication skills, both written and verbal.

Responsibilities

• Understand business requirements with model users.
• Research regulatory requirements and industry best practices for modeling.
• Recommend model methodologies and develop technical implementation.
• Provide business requirements with technical implementation details for production deployment.
• Document model methodologies and testing results, coordinate with internal validation.
• Develop tools to monitor model performance and governance reporting.
• Investigate modeling issues from re-reviews or validation.
• Re-assess and test models, document results in whitepapers and assessments.

Skills

Analytical thinking

Programming: Python

SQL

Excel

Team leadership

Communication skills

Collaborative

Adaptability

Education

Masters in Financial Engineering

Job description

RBC in Toronto is seeking a Director, Risk Models - Global Risk Analytics to lead the design, development, and maintenance of mathematical models used in regulatory stress testing and capital adequacy assessments from a trading and market risk perspective. You will oversee methodologies, validation, and governance while driving cross-functional collaboration with senior stakeholders.

The role requires strong leadership, expertise in quant models, and the ability to translate complex concepts to