Data Scientist, Model Validation

Résumé du poste

You will validate complex quantitative models to ensure data quality and adherence to strategic standards throughout the model life cycle. Additionally, you will provide expert advice on statistical methodologies and represent the team to internal stakeholders while monitoring industry trends.

Détails du poste

As part of its activities, Desjardins Group uses a large number of data-driven quantitative models to support its product and service offer and to properly manage its risks, with the goal of always doing what’s best for members and clients. While these models provide indisputable decision-making support, their use leads to further risks that must in turn be analyzed, assessed and mitigated. 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. 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 Ensure alignment with relevant regulatory expectations for property and casualty (P&C) insurance 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 and telework equipment * Benefits apply based on eligibility criteria. #LI-Hybrid What you bring to the table Bachelor’s degree in a related field (actuarial science, statistics, applied mathematics, engineering, data science, computer science) A minimum of six years of relevant experience, including a minimum of three years in analytics or modelling; experience in P&C insurance (pricing, reserving, claims, capital/catastrophes, analytical marketing) Please note that other combinations of qualifications and relevant experience may be considered Knowledge of French is required Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients Knowledge of mathematical modelling and statistics Proficiency in programming languages: Python, R, SQL, SAS Proficiency with risk management models in at least one of the following areas: Pricing and underwriting in P&C insurance: GLM/GAM, frequency/severity models, auto/home/commercial segmentation, elasticity analyses and business impact assessments Reserving and valuation of liabilities: Chain-Ladder, Bornhuetter-Ferguson, Mack and related diagnostics, IFRS 17 considerations Loss management and fraud prevention: detection and anomaly models Client behaviour and distribution: retention models, propensity models and offer optimization Catastrophe risk and capital: CAT model concepts (such as AIR, RMS), risk aggregation and capital indicators (such as MCT) Knowledge of property and casualty insurance Knowledge of regulatory frameworks applicable in Canada (such as model risk management expectations, IFRS 17, MCT, AMF/OSFI guidelines) Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning Equity, Diversity, Inclusion and Accessibility At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve. If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask! Trade Union (If applicable) Job Family Actuarial Services (FG) Unposting Date 2026-10-9

Ce que vous ferez

You will validate complex quantitative models to ensure data quality and adherence to strategic standards throughout the model life cycle. Additionally, you will provide expert advice on statistical methodologies and represent the team to internal stakeholders while monitoring industry trends.

Exigences

Candidates must hold a bachelor's degree in a quantitative field and possess at least six years of relevant experience, including three years in analytics or modeling. Proficiency in programming languages like Python, R, SQL, or SAS and knowledge of P&C insurance regulatory frameworks are required.

Avantages

• Competitive salary • Annual bonus • 4 weeks of flexible vacation • Defined benefit pension plan • Group insurance • Telemedicine • Reimbursement of health and wellness expenses • Telework equipment

Compétences indiquées

• SQL · Souhaitée
• Regulatory Compliance · Souhaitée
• Risk Management · Souhaitée
• Apprentissage automatique · Souhaitée
• data management · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data science
• Model validation
• Statistical modeling
• Machine learning
• Artificial intelligence
• Python
• R
• SQL
• SAS
• P&C insurance
• Risk management
• Predictive modeling
• Data management
• Actuarial science
• Regulatory compliance
• IFRS 17
• Model Risk Management
• Propensity Modeling
• Fraud Prevention
• Action Oriented
• Experimental Learning
• Catastrophe Modeling
• Business Decisions
• Regulatory Frameworks
• Quantitative Modeling
• Risk Aggregation
• Programming Languages
• Artificial Intelligence
• Applied Mathematics
• Underwriting
• Business Continuity Planning
• Management
• Casualty Insurance
• Decision Making
• Customer Service
• Computer Science
• Data Management
• Data Mining
• English Language
• French Language
• Generalized Linear Model
• R (Programming Language)
• Marketing
• International Financial Reporting Standards
• Innovation
• Python (Programming Language)
• Risk Management
• Machine Learning
• Mathematical Modeling
• Predictive Modeling

Domaines d’emploi

• Data & Analytics
• Finance & Accounting
• Technology
• Science & Research
• Model Validation Analyst
• Data Scientist
• Systems Analysts
• Data Scientists