Our financial services client is seeking a Senior Data Scientist / Data Engineer (6+ months) to build transaction monitoring in Oracle - Join a high-performing analytics team supporting a new Anti-Money Laundering (AML) project within a leading financial institution.

This role focuses on data exploration, model monitoring, and transaction surveillance development using Oracle and related data environments.

Youll collaborate with analytics leadership to enhance data quality, ensure regulatory compliance, and implement advanced monitoring capabilities.

Contract, Markham or Toronto, Hybrid Duration: 6 months Must Haves Expert-level proficiency in Python and SQL Advanced query optimization , debugging ,



and automation capabilities Solid data exploration and analysis skills with large-scale datasets Application of statistical techniques and data mining tools to solve business problems Bachelors or masters degree in computer science or related field Nice to Have Experience with SAS, Informatica, Tableau, or other data analytics tools AML domain knowledge Responsibilities Conduct analytical activities related to AML transaction monitoring systems Provide analysis, design, and support for technical data management solutions Perform data quality checks on Oracle and Azure platforms Conduct customer segmentation, scenario threshold setting, and model performance monitoring Maintain documentation to support audit and regulatory requirements Execute quality control procedures to identify monitoring gaps and support implementation Collaborate with business teams to derive insights from data models for strategic planning

📌 Senior Data Scientist / Data Engineer (6+ months) to build transaction monitoring in Oracle - 58208 (Toronto)
🏢 S.i. Systems
📍 Toronto