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 queries Execute AML/ATF scenario tuning and machine learning Build transaction monitoring and risk scoring models Document scenario reviews for audit and regulatory requirements Support Global AML partners, audit, and stakeholders Requirements:

Eight or more years of overall experience Expert Python, PySpark, Databricks, Azure, and SQL Extensive predictive modeling and machine learning experience Expert statistics, data exploration, analysis, and mining Bachelor's degree or higher in a relevant discipline Bring senior AML analytics, predictive modeling, and transaction monitoring expertise to this hybrid Toronto or Markham assignment.

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