Data Engineer In Financial Crime And Compliance

Longfinch Technologies

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.

Vacancy posted 21 hours ago

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