Job Title

Job Title: Quantitative Model Validation SpecialistLocation: Toronto, ON Hybrid (4 days onsite at 66 Wellington St. W)Duration: 12 months (possibility of extension or conversion)Rate: $71$81/hr OverviewWe are seeking a Quantitative Model Validation Specialist to support model risk management and validation of derivative pricing and risk models. The successful candidate will perform independent testing and validation of complex financial models used across global trading businesses, ensuring alignment with regulatory expectations and internal standards.Key ResponsibilitiesConduct independent validations of pricing, xVA, CCR, and market risk models used for Interest Rate, Equity, FX, Credit, and Commodity derivatives.Assess model design, implementation, data inputs, and performance through analytical testing and benchmarking.Prepare detailed validation reports summarizing methodologies, assumptions, computational methods, and outcomes.Collaborate with internal partners across model development, front office quantitative teams, and IT support to resolve model issues and enhance model governance.Develop and maintain validation methodologies, ensuring alignment with best practices and regulatory guidance.Must-Have QualificationsGraduate degree (MSc, MMF, or PhD) in a quantitative discipline such as mathematics, physics, engineering, statistics, or computational finance.5+ years of experience in quantitative model validation, risk modeling, or pricing model development.Strong understanding of pricing theory, stochastic calculus, and numerical methods (Monte Carlo simulation, PDE/trees, optimization).Proficiency in C/C++ and Python.Excellent technical writing and documentation skills.Nice-to-Have SkillsBackground in banking or financial services.Experience with counterparty credit risk or xVA models.Familiarity with regulatory model validation frameworks.Ideal CandidateA technically strong quantitative professional who enjoys analytical problem-solving and model governance. Works independently yet collaborates effectively within a small, high-performing team.