Minimum 3 years of experience in Money Movement or Trade Monitoring (AML, Fraud, Surveillance) within Wealth Management/Financial Services
8+ years of overall IT experience, including 3+ years at Architect/Senior Developer level with Neo4j
Strong expertise in Neo4j Graph Database, including Cypher queries, Graph Data Science, data ingestion, and query performance tuning with experience reviewing and recommending Neo4j infrastructure and configuration for optimal performance and resilience
Technical Skills: Python programming with batch data engineering (Apache Spark) to populate Neo4j and generate downstream feeds for Data Science; real-time service integration with Kafka; stream processing for ML feature derivation; strong SQL skills (SQL Server, Impala)
Requirements:
Design, develop, and optimize Neo4j-based graph solutions for Money Movement/AML/Fraud/Surveillance use cases within Wealth Management/Financial Services
Build and maintain data pipelines: batch processing with Apache Spark to populate Neo4j and generate downstream feeds; implement real-time service integration with Kafka and stream processing for ML feature derivation
Collaborate with analytics/ML teams to apply advanced graph analytics and machine learning, and tune Neo4j query performance; review and recommend Neo4j infrastructure/configuration for performance and resilience
Participate in all SDLC phases from requirements analysis to deployment, with strong communication and documentation to support governance and maintenance
Job description
Experience: 10+ Years Key Requirements:
Minimum 3 years of experience in Money Movement or Trade Monitoring (AML, Fraud, Surveillance) within Wealth Management / Financial Services.
8+ years of overall IT experience, including 3+ years at Architect / Senior Developer level with Neo4j.
Strong expertise in Neo4j Graph Database, including: