Our financial services client is seeking a Senior Data Scientist (10+ years) to build AML transaction monitoring solutions using Python, and SQL Join a leading financial institution supporting a new AML transaction monitoring initiative within a data analytics setting.

This role focuses on analytical activities related to transaction monitoring systems, including data quality checks, customer segmentation, threshold setting, and model performance monitoring across Oracle and Azure platforms.

The position offers exposure to large-scale datasets and collaboration with multiple business teams on data-driven initiatives.

Contract, Hybrid Work Location: Hybrid: Hybrid - 3 days a week in office Anchor Days (if applicable): Wednesday Address: Steeles Avenue East, Markham, Ontario Must Haves 10+ years in Data Science and Data Analytics environments Expert-level proficiency in Python and SQL Advanced query optimization , debugging,



and automation skills Large-scale dataset analysis using statistical techniques and data mining tools Master’s degree preferred in computer science, data science, statistics, or related field Nice to Have Experience with SAS, Informatica, Tableau, and other relevant data analytics tools AML knowledge Financial institution experience Responsibilities Conduct analytical activities related to AML transaction monitoring systems Provide analysis, design, and support for technical data management solutions across projects Perform data quality checks on raw and curated data within Oracle and Azure platforms Execute customer segmentation, initial threshold setting, and model performance monitoring activities Maintain structured documentation supporting scenario review programs for audit, compliance, and regulatory requirements Execute quality control procedures for interim monitoring solutions and identify implementation gaps Collaborate with business teams to identify improvement opportunities using supporting data and models

📌 Senior Data Scientist (10+ years) to build AML transaction monitoring solutions using Python, and SQL 58574 (Toronto)
🏢 S.i. Systems
📍 Toronto