Financial Crime Data Scientist

Desjardins

. Design, calibrate and refine advanced financial crime analytics models by contributing to improvements in the monitoring system .

Posted 9/22/2026full-timeMontréal • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in financial crime analytics model design and compliance, with a strong foundation in data science and proficiency in Python and Spark. Capable of collaborating across teams to enhance analytical strategies and ensure robust governance.

Highest-signal resume keywords

Financial Crime Certification (CAMS, CFCS)Data Science Expertise (ML, Statistics)Proficiency in Python and SparkExperience with Azure/DatabricksKnowledge of Financial Crime Regulatory Frameworks (FINTRAC, FATF)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingModel DevelopmentIndustrialization Practices (Git, MLflow, MLOps)Advanced Financial Crime AnalyticsStatistical Analysis

Soft Skills

Ability to Explain Complex ConceptsCollaboration

Tools & Technologies

AzureDatabricks

Certifications & Qualifications

CAMSCFCS

Industry Keywords

Financial CrimeComplianceGovernanceAnalytics EcosystemFCP Analytical Strategy

Tech Stack

Tools & technologies

AzurePythonSpark

About the role

Key responsibilities & impact

Design, calibrate and refine advanced financial crime analytics models by contributing to improvements in the monitoring system
Contribute to the FCP analytical strategy and ensure the performance, robustness and compliance of models
Ensure documentation, governance and compliance of models
Serve as an expert with partners to explain methodologies, recommend solutions and support decision making
Participate in the modernization and industrialization of the analytics ecosystem
Monitor trends in analytics and integrate best practices and innovations
Collaborate with IT, operations and compliance teams to ensure overall consistency of the FCP system

Requirements

What you’ll need

Bachelor’s degree in data science, statistics, computer science, mathematics or a related field
A minimum of six years of relevant data modelling or data science experience
Please note that other combinations of qualifications and relevant experience may be considered
Financial crime certification (CAMS, CFCS)
Experience with Azure/Databricks and interest in approaches that include generative AI
Experience in an influential role and experience structuring a long-term analytical vision
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
In-depth expertise in data science (ML, statistics) and understanding of model limitations
Proficiency in Python, Spark and model development and industrialization practices (Git, MLflow, MLOps)
Ability to explain complex concepts in plain language
Knowledge of financial crime regulatory frameworks (FINTRAC, FATF)

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