Senior Manager, Model Validation & Risk Governance

Jobtailor

Toronto

On-site

CAD 120,000 - 170,000

Full time

8 days ago
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Job summary

Jobtailor is seeking an experienced professional to lead model validation activities and develop robust validation strategies within a regulated financial services environment.

The role requires deep expertise in quantitative modeling, governance, and risk management, with hands-on experience in Python, R, and related tools. Collaboration with senior stakeholders and the ability to supervise junior validators are essential.

Qualifications

  • Master’s degree or higher in Mathematics, Mathematical Finance, Statistics, Physics, Engineering, Economics, or equivalent quantitative discipline

Responsibilities

  • Report to Director, Model Risk Management and support the Director and VP with model validation activities
  • Develop model validation strategies and maintain validation plans
  • Assess model frameworks, assumptions, mathematical implementation, data, and system implementation
  • Assess modeling data from extraction through preparation, cleansing, and treatment for development suitability
  • Conduct model testing including sensitivity, scenario, and stress testing
  • Produce validation reports identifying model limitations and risk levels
  • Communicate model risk issues and recommendations to stakeholders
  • Support model governance including metadata tracking and attestation
  • Stay current with industry trends in model risk management
  • Educate and influence stakeholders for managing model risk under regulatory guidelines
  • Provide independent feedback to model developers and risk management groups
  • Promote knowledge sharing and supervise junior validators

Skills

Analytical skills
Problem-solving
Communication skills
Project management
Time management
Organizational skills
Independent thinking
Collaborative work

Education

Master’s degree or higher in quantitative field

Tools

Python
R
SAS
C++
C#
Java
MATLAB

Job description

Jobtailor is seeking an experienced professional to lead model validation activities and develop robust validation strategies within a regulated financial services environment.

The role requires deep expertise in quantitative modeling, governance, and risk management, with hands-on experience in Python, R, and related tools. Collaboration with senior stakeholders and the ability to supervise junior validators are essential.

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