Senior Aml Data Scientist Developer

Apply advanced Python and machine learning expertise as a senior AML Data Scientist Developer in a hybrid Toronto or Markham schedule. Support financial crime analytics across transaction monitoring systems.This six-month contract supports FCRM transaction monitoring through analysis, design, and technical data management. You will build customer behavior and risk scoring models while tuning scenarios and monitoring performance. The work requires independent delivery across projects of varying complexity.Key Responsibilities:
Maintain transaction monitoring scenarios and analytical queriesExecute AML/ATF scenario tuning and machine learningBuild transaction monitoring and risk scoring modelsDocument scenario reviews for audit and regulatory requirementsSupport Global AML partners, audit, and stakeholdersRequirements:
Eight or more years of overall experienceExpert Python, PySpark, Databricks, Azure, and SQLExtensive predictive modeling and machine learning experienceExpert statistics, data exploration, analysis, and miningBachelor's degree or higher in a relevant disciplineBring senior AML analytics, predictive modeling, and transaction monitoring expertise to this hybrid Toronto or Markham assignment.
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