Software Developer - Neo4j

Key Responsibilities

• Design and implement graph data models using Neo4j for customers, accounts, transactions, devices, and related entities.

• Develop and optimize Cypher queries for graph analytics and data retrieval.

• Build ETL pipelines and data processing workflows using Python.

• Apply Graph Data Science algorithms such as Community Detection, Link Prediction, Node Embeddings, Pathfinding, and Centrality analysis.

• Develop graph visualization dashboards using Neo4j Bloom or similar visualization tools.

• Optimize graph database performance through indexing, query tuning, and data model improvements.

• Collaborate with Risk, Compliance, AML, Data Science, and business teams to understand requirements and deliver technical solutions.

• Support production environments by monitoring, troubleshooting, and improving graph database performance.

• Stay updated with emerging graph technologies and contribute to continuous improvements.

Requirements Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related discipline.

• 5–6 years of overall IT experience.

• At least 2 years of hands-on experience with Neo4j and Cypher Query Language.

• Experience with Neo4j Graph Data Science (GDS) library.

• Strong Python programming skills for ETL, data processing, and graph analytics.

• Good understanding of graph database concepts including data modelling, indexing, query optimization, and performance tuning.

• Experience implementing Graph Data Science algorithms such as: Community Detection (Louvain, Label Propagation)Link Prediction Node Embeddings (Node2Vec, GraphSAGE)Centrality Measures

• Experience with Neo4j Bloom or similar graph visualization tools.

• Strong analytical, problem-solving, and communication skills.

• Ability to work collaboratively with cross-functional teams.

Preferred Skills

• Experience in Banking, Fraud Detection, Anti-Money Laundering (AML), or Financial Crime domains.

• Experience with graph databases such as Amazon Neptune, TigerGraph, or JanusGraph.

• Knowledge of machine learning frameworks including scikit-learn, TensorFlow, or PyTorch.

• Experience with AWS, Azure, or Google Cloud Platform.

• Knowledge of Kafka or Kinesis for real-time data streaming.

• Familiarity with CI/CD pipelines, Infrastructure as Code (Terraform or CloudFormation), and DevOps practices.

• Understanding of AML, KYC, and financial crime compliance frameworks.

• Neo4j Certified Professional or Graph Data Science certification is an advantage.

EA Number : 11C4879