Financial Crime Data Engineer: AML & Surveillance Pipelines

Long Finch Technologies, LLC.; Bergenfield (NJ); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

SQL

Python

PySpark

ETL/ELT

Data pipelines

Data mapping

Data profiling

Reconciliation

Data quality

Data lineage

Tools

NICE Actimize

ActOne

AIS

Trading Hub

Jobbeschreibung

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.