Data Scientist, Model Validation

Desjardins

. Ensure modelling processes appropriately use available data based on characterization, quality, and processing .

Posted 9/17/2026full-timeMontréal • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modelling, statistical analysis, and machine learning methods, with a strong focus on property and casualty insurance regulations and practices. Proficient in programming languages such as Python, R, SQL, and SAS for data preparation and model validation.

Highest-signal resume keywords

Predictive ModellingStatistical AnalysisMachine LearningPython ProgrammingProperty and Casualty Insurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModellingData AnalysisMachine Learning MethodsMathematical ModellingModel ValidationData MiningRisk Management ModelsSAS ProficiencySQL ProficiencyR Proficiency

Soft Skills

Team TrainingStakeholder RepresentationAnalytical Thinking

Industry Keywords

Property and Casualty InsuranceRegulatory FrameworksModel Risk ManagementIFRS 17MCTAMF/OSFI Guidelines

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Ensure modelling processes appropriately use available data based on characterization, quality, and processing
Ensure predictive modelling meets required standards and Desjardins Group quality criteria through validation
Analyze business needs behind models and confirm model suitability through validation
Ensure programming for data preparation, mining, model development, evaluation, support, rollout, and management meets required standards
Use advanced statistical, machine learning, and artificial intelligence methods to test 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
Identify opportunities to optimize rules and systems and help develop data management and modelling support tools
Represent teams with various internal stakeholders
Monitor industry trends in model validation and update organizational practices
Ensure alignment with regulatory expectations for property and casualty insurance

Requirements

What you’ll need

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)
Other combinations of qualifications and relevant experience may be considered
Knowledge of French is required
Intermediate knowledge of English
Knowledge of mathematical modelling and statistics
Proficiency in Python, R, SQL, and SAS
Proficiency with risk management models in at least one specified P&C insurance area
Knowledge of property and casualty insurance
Knowledge of regulatory frameworks applicable in Canada, including model risk management expectations, IFRS 17, MCT, and AMF/OSFI guidelines
Knowledge of relevant statistical, machine learning, and artificial intelligence methods

Benefits

Comp & perks

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
Accommodations at any stage in the recruitment process