Data Engineer In Financial Crime And Compliance

@ Long Finch Technologies
Long Finch Technologieslongfinchtechnologies.com

Data Engineer In Financial Crime And Compliance

Lodi, New Jersey
Posted 4 days ago

About the job

A leading financial technology company focusing on financial crime, AML, and compliance. The Data Engineer role centers on developing data pipelines and solutions to support transaction monitoring, fraud detection, and regulatory requirements.

Requirements

  • Strong SQL, Python, PySpark skills
  • Experience with ETL/ELT processes
  • Data pipeline development knowledge
  • Familiarity with financial systems
  • Understanding of AML and compliance

Qualifications

  • Bachelor's degree in related field
  • Experience with financial crime data
  • Knowledge of data profiling and reconciliation
  • Ability to work with fraud and surveillance tools

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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