Data Engineer In Financial Crime And Compliance

Long Finch Technologies, LLC.; Bergenfield (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

Long Finch Technologies, LLC. is seeking a data engineering professional to design and maintain scalable data pipelines for FCC, AML, KYC, and trade surveillance.

You will work with platforms like NICE Actimize, ActOne, AIS, and Trading Hub to ingest, transform, and distribute large financial datasets. The role focuses on data mapping, profiling, reconciliation, data quality, and lineage, supporting transaction monitoring and investigations.

Qualifications

• Experience designing scalable data pipelines for FCC, AML, KYC, and surveillance.
• Proficient in SQL, Python, PySpark and ETL/ELT processing.
• Ability to integrate data from banking, trading, payments, and reference sources.
• Strong data quality, profiling, lineage, and reconciliation skills.
• Collaborate with SMEs to translate requirements into data engineering solutions.
• Support Actimize AIS/ActOne workflows and data ingestion pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines for FCC, AML, KYC, and surveillance.
• Integrate data from NICE Actimize, ActOne, AIS, and Trading Hub into FCC apps.
• Build robust ETL/ELT pipelines for large financial data volumes.
• Develop data solutions for transaction monitoring and suspicious activity detection.
• Ingest, transform, enrich, and distribute data across platforms.
• Perform data mapping, profiling, reconciliation, quality, and lineage tasks.
• Collaborate with AML, Compliance, Financial Crime, and Trade SMEs.
• Optimize SQL, Python, PySpark processes for high-volume datasets.

Skills

SQL

Python

PySpark

ETL/ELT

Data pipelines

Data mapping

Data profiling

Reconciliation

Data quality

Data lineage

Tools

NICE Actimize

ActOne

AIS

Trading Hub

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.