Data Scientist, Financial and AI Models

Desjardins

. Ensure modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives .

Posted 9/29/2026full-timeMontréal • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced knowledge in predictive modeling, machine learning, and AI methodologies, with a strong focus on model validation, explainability, and governance. Proficient in programming languages such as Python and SQL, and possesses a solid understanding of financial modeling and regulatory frameworks.

Highest-signal resume keywords

Predictive ModelingMachine LearningModel ValidationProgramming in PythonKnowledge of Basel Regulations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelsMachine Learning ModelsNatural Language ProcessingStatistical AnalysisMathematical ModelingQuantitative Model ValidationGenerative AIAlgorithmic Bias AssessmentModel ExplainabilityData Mining

Soft Skills

Effective CommunicationInterpersonal SavvyStrategic MindsetComplexity ManagementInnovation

Tools & Technologies

PythonSQLSASRC++MATLAB

Industry Keywords

Credit ModelingLiquidity ModelingAI GovernanceEmerging AI TrendsBasel Regulations

Tech Stack

Tools & technologies

PythonSQLC++

About the role

Key responsibilities & impact

Ensure modelling processes make appropriate use of available data based on characterization, quality and processing as part of strategic initiatives
Use the validation process to ensure predictive modelling is carried out according to established standards and meets Desjardins Group’s quality criteria
Analyze business needs behind models and confirm model suitability through validation
Ensure programming for preparing and mining data and developing, evaluating, supporting, rolling out and managing complex models meets required standards
Use advanced statistical, machine learning and AI methods to test methodologies proposed by the first line of defence
Validate risk and financial valuation models, predictive models, machine learning models, NLP models, speech recognition models and generative AI solutions
Assess model robustness, performance, stability, explainability and related risks, including algorithmic bias, model drift and responsible AI issues
Help draft governance documents, methods and methodological and technological approaches
Advise and train teams on quantitative model validation methods and help advance these methods
Represent teams in dealings with internal stakeholders
Monitor industry trends and anticipate emerging developments

Requirements

What you’ll need

Bachelor's degree in a related field
A minimum of six years of relevant experience
Other combinations of qualifications and relevant experience may be considered
Knowledge of French is required
Advanced knowledge of models and modelling methodologies in at least one of the following areas: Credit or Liquidity
Knowledge of AI and machine learning models, including predictive models, supervised and unsupervised models, recommendation systems, anomaly detection and decision optimization
Knowledge of generative AI, natural language processing and speech recognition models
Knowledge of mathematical modelling, statistics and quantitative model validation
Knowledge of model explainability, robustness, monitoring and governance concepts
Programming knowledge using Python, SQL, SAS, R, C++, MATLAB or equivalent technologies
Knowledge of Basel regulations and interest in emerging AI governance frameworks
Communicates effectively, Complexity, Innovation, Interpersonal Savvy, Strategic mindset

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