Data Engineer In Financial Crime And Compliance

@ Long Finch Technologies
Long Finch Technologieslongfinchtechnologies.com

Data Engineer In Financial Crime And Compliance

West New Brighton, New York
Posted 4 days ago

About the job

A company providing financial crime and compliance solutions. The role focuses on building scalable data pipelines for AML, KYC, and trade surveillance, integrating various data sources, and supporting Actimize workflows.

Requirements

  • SQL and Python expertise
  • ETL/ELT pipeline development
  • Data mapping and profiling
  • Experience with financial data

Qualifications

  • Bachelor's degree preferred
  • Experience in financial services
  • Knowledge of compliance systems

Full job description

  • 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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