Report to the Director, Model Risk Management, and support the Director and VP, Model Risk Management, with model validation activities

Develop model validation strategies and maintain model validation plans

Assess model frameworks, assumptions, mathematical implementation, underlying 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

Conduct benchmark analysis and review implementation and user acceptance testing

Produce validation reports identifying model limitations, weaknesses, effective range of use, and model risk level

Communicate model risk issues and independent recommendations to stakeholders

Support model governance, including model metadata tracking, annual model attestation, and model risk reporting

Stay current with industry trends and practices in model risk management

Educate, influence, and hold stakeholders accountable for managing model risk under the Bank’s MRMF and regulatory guidelines

Provide independent feedback to model developers and risk management groups

Promote knowledge sharing and potentially supervise junior validators

Develop relationships with model risk stakeholders and act as a trusted advisor

Escalate difficult or complex project-related issues

Requirements

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

Minimum of 5 years of experience in quantitative modeling and/or model validation within the financial industry

7 years of experience preferred





Experience within financial services or another highly regulated environment strongly preferred

Strong understanding of model risk management and governance

Strong understanding of risk management principles and practices

Strong experience with programming languages, which may include Python, R, SAS, C++, C#, Java, and MATLAB

Excellent analytical and problem-solving capabilities

Excellent project management, time management, and organizational skills

Excellent technical documentation and report-writing skills

Excellent communication skills

All candidates considered for hire must successfully complete a criminal background check and credit check

Core Competencies
Demonstrates expertise in model validation and risk management within the financial industry, with strong analytical skills and proficiency in programming languages such as Python and R. Capable of developing validation strategies, conducting model testing, and effectively communicating model risk issues to stakeholders.

Highest-signal resume keywords

Model Validation

Quantitative Modeling

Risk Management Principles

Programming Languages

Analytical Skills

ATS Optimization Keywords
Hard Skills

Model Validation Strategies

Model Testing

Statistical Analysis

Data Cleansing

Sensitivity Testing

Scenario Testing

Stress Testing

Technical Documentation

Report Writing

Model Governance

Soft Skills

Communication Skills

Project Management

Time Management

Organizational Skills

Problem-Solving Skills

Industry Keywords

Model Risk Management

Financial Services

Regulatory Setting

Model Governance

Quantitative Discipline

Tools & Technologies

Python

R

SAS

C++

C#

Java

MATLAB

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📌 Senior Manager, Model Validation (Ontario)
🏢 Jobtailor
📍 Ontario