Financial Crime Data Scientist
Core
Design, calibrate, and refine advanced financial crime analytics models to detect suspicious activities and ensure the performance, robustness, and compliance of the monitoring system.
Role type
Senior Financial Crime Data Scientist
Builds
Detection models for financial crime prevention (FCP) ecosystem
Domain
Financial services / Financial Crime Prevention
Deliverable
production ML models
Required skills
Advanced data science (ML, statistics), Python, Spark, model development and industrialization practices (Git, MLflow, MLOps), financial crime regulatory frameworks knowledge (FINTRAC, FATF), generative AI approaches
Preferred skills
Azure/Databricks experience, CFA/CFCS certification, French language proficiency, strategic analytical vision
Technologies
Azure, Databricks, Python, Spark, Git, MLflow
Responsibilities
Design and refine detection models, contribute to FCP analytical strategy, ensure model governance and compliance, serve as an expert to explain methodologies and support decision making, participate in modernization of the analytics ecosystem, monitor trends and integrate best practices
Seniority
Senior, hands-on IC with strategic contribution
