- 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 - Solid 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 Environment - Model Governance - Quantitative Discipline Tools & Technologies - Python - R - SAS - C++ - C# - Java - MATLAB

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