Senior Neo4j Graph Data Engineer for Fraud & AML
Summary
Build and optimize Neo4j graph models for banking fraud and AML, apply GDS algorithms, and collaborate with risk teams to deliver scalable solutions.
Kasi Jeyaseelan Naveen (Proprietor of Arient Solutions) is seeking an experienced Graph Database Engineer to model banking data in Neo4j and apply GDS algorithms for fraud detection. You will build dashboards and collaborate with Risk, AML, Compliance, and Data Science teams to deliver scalable, high-performance solutions.
The ideal candidate has 5–6 years in IT with 2+ years on Neo4j, Cypher, and GDS, plus strong Python skills for ETL and integration into workflows.