Data Scientist, Model validation As a data scientist, model validation, you help ensure that data is appropriately valued at each stage of the model's life cycle. You help make business decisions, develop solutions and services tailored to business issues and interpret member/client behaviour. In this respect, you check that the validation programs in place are properly applied to ensure that the models comply with all quality criteria used by Desjardins Group. You make recommendations on the development and use of models with a high degree of operational and conceptual complexity, using your analytical skills and comprehensive, in-depth understanding of your line of business and the organization. The primary focus will be on models used in market risk, interest rate risk and liquidity risk management. More specifically, you will be required to : - Ensure that modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives - Ensure that predictive modelling is carried out according to the required standards and that Desjardins Group's quality criteria are met through the validation process - Analyze the business needs behind the model and confirm the model's suitability through validation - Ensure that the programming required to prepare and mine data, and to develop, evaluate, support, roll out and manage highly conceptually complex and innovative models meets the required standards - Use advanced and innovative statistical, machine learning and artificial intelligence methods to test the methodologies proposed by the first line of defence - Help draft guidelines and methods and shape methodological and technological choices Advise and train teams on quantitative model validation methods and update them to improve delivery speed - Identify opportunities to optimize rules and systems, anticipate underlying impacts of changes and help develop data management and modelling support tools - Represent teams with various internal interested parties - Monitor the industry to understand and anticipate trends in your field of expertise in model validation, with a view to developing and updating practices that are contextually appropriate for the organization. What we offer* - Competitive salary and annual bonus - 4 weeks of flexible vacation starting in the first year - Defined benefit pension plan that provides predictable, stable income throughout retirement - Group insurance including telemedicine - Reimbursement of health and wellness expenses * Benefits apply based on eligibility criteria. #LI-Hybrid What you bring to the table - Bachelor's degree in a related field - A minimum of six years of relevant experience - Please note that other combinations of qualifications and relevant experience may be considered - Knowledge of French is required - Expertise in mathematical modelling and statistics - Proficiency in risk management models in at least one of the following areas: - Market risk: Pricing models (BSM, Heston, Hull-White, GSR, G2) for options, bonds, caps, swaps, swaptions and credit products, as well as VaR and SVaR models, economic capital calculations and stress testing using RiskMetrics and Python - Interest rate risk: Risk-weighted Net Interest Income (NII), gap analysis, modified and effective duration, convexity analysis and Economic Value of Equity (EVE) - Liquidity risk: Prepayment models, Liquidity Coverage Ratio (LCR), Net Cumulative Cash Flow (NCCF), economic capital calculations and stress testing using QRM and Python - Knowledge of the banking industry - Knowledge of Basel regulations - Knowledge of programming: C++, SQL, Python, MATLAB, VB, SAS Complexity, Innovation, Interpersonal Savvy Job Family Data (FG) Unposting Date 2026-08-4