Data Engineer In Financial Crime And Compliance

• Design, develop, and maintain scalable data pipelines supporting Financial Crime & Compliance (FCC), AML, KYC, and Trade Surveillance initiatives.
• Work with FCC products and platforms such as NICE Actimize, ActOne, AIS, and Trading Hub to integrate transaction, customer, trade, and reference data.
• Build robust ETL/ELT pipelines to ingest, transform, validate, and distribute large volumes of financial and transactional data for AML and surveillance applications.
• Develop data solutions supporting transaction monitoring, suspicious activity detection, trade surveillance, sanctions screening, and financial crime investigations.
• Integrate data from core banking, trading platforms, payment systems, securities, market data, and enterprise data warehouses into FCC applications.
• Perform complex data mapping, data profiling, reconciliation, data quality, and lineage activities between source systems and Actimize/Trading Hub.
• Develop and optimize SQL, Python, PySpark, and ETL processes for high-volume financial crime and compliance datasets.
• Partner with AML, Compliance, Financial Crime, and Trade Surveillance SMEs to translate business requirements into scalable data engineering solutions.
• Support Actimize AIS/ActOne workflows, including data ingestion, transformation, enrichment, and downstream processing.

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