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Desjardins

Data Scientist, Validation of Financial and AI Models

Montreal, QC, Canada
Complexe Desjardins Montréal, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 17, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead internal and external stakeholders in model development projects adapted to business needs and in complex strategic interventions in advanced analytics and artificial intelligence. Your initiatives require extensive, in-depth knowledge of your field.You help solve highly operationally and conceptually complex business problems using your ability to mine multiple data sources, your analytical skills and your in-depth, comprehensive understanding of the business line and the organization. You rely on your solid understanding of the various methods to make recommendations.You serve as an expert advisor and subject matter expert on data use for stakeholders, and as a resource person and coach for decision-making bodies. You interact with many stakeholders working in a wide range of fields to understand and communicate issues and influence decision-making. More specifically, you will be required to:

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 the established standards and meets Desjardins Group’s quality criteria
Analyze the business needs behind the model and confirm the model’s suitability through validation
Ensure the programming required to prepare and mine data and to develop, evaluate, support, roll out and manage innovative and conceptually complex models meets the required standards
Use advanced and innovative statistical, machine learning and AI methods to test the methodologies proposed by the first line of defence
Validate various types of models, including risk and financial valuation models, predictive models, machine learning models, natural language processing models, speech recognition models and generative AI solutions
Assess model robustness, performance, stability and explainability, as well as model-related risks, including algorithmic bias, model drift and issues related to responsible use of AI
Help draft governance documents, methods and methodological and technological approaches. Advise and train teams on quantitative model validation methods and help advance these methods to accelerate delivery
Represent the teams in dealings with various internal stakeholders
Monitor the industry to understand and anticipate emerging trends in your area of expertise.

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.

What you bring to the table

Bachelor's degree in a related field
A minimum of sixyears of relevant experience
Please note that 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: Scoring models, shadow ratings, regulatory and IFRS 9 parameters, including ECL and term structures for PD, LGD, EAD and SICR, as well as economic capital calculations and stress testing
- Liquidity: Prepayment, LCR and NCCF models, including economic capital calculations and stress testing
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, including large language models, conversational agents, content generation and decision-support systems, classification, information extraction, language comprehension, transcription and content analysis
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

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

Data (FG)

Unposting Date

2026-11-16

Apply About employer

More about this job

Responsibilities

You will lead model development projects and validate complex financial, risk, and AI models to ensure they meet quality and regulatory standards. Additionally, you will serve as an expert advisor to stakeholders, providing insights on data usage and model robustness while monitoring emerging industry trends.

Requirements

The role requires a bachelor's degree in a related field and at least six years of relevant experience in quantitative modelling or data science. Candidates must possess advanced knowledge of statistical methodologies, programming languages like Python or SQL, and experience with AI governance and model validation frameworks.

Skills

Data science
Model validation
Predictive modelling
Machine learning
Artificial intelligence
Statistical methods
Risk management
Financial valuation
Natural language processing
Generative AI
Python
SQL
SAS
R
Model explainability
Governance

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
Model Validation
Financial Models
AI Models
Predictive Modelling
Machine Learning
Generative AI
Natural Language Processing
Speech Recognition
Risk Management
IFRS 9
Basel Regulations
Python
SQL
SAS
R
C++
MATLAB
Model Explainability
Algorithmic Bias
Model Governance
Quantitative Analysis
Strategic Initiatives
Data Mining
Decision Optimization
Anomaly Detection
Stress Testing
Economic Capital
Large Language Models
Hybrid Work

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