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