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Neo4j Developer

Roles & Responsibilities

  • 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:
    • Cypher queries
    • Graph Data Science
    • Data ingestion
    • Query performance tuning (indexes, modeling, optimization techniques)
    • Reviewing and recommending Neo4j infrastructure and configuration for optimal performance and resilience
Technical Skills:
  • Python Programming:
    • Batch data engineering with Apache Spark to populate Neo4j and generate downstream feeds for Data Science.
    • Real-time service integration with Kafka to process events and persist in Neo4j.
    • Stream processing for ML model feature derivation.
  • Analytics & AI/ML: Strong experience in solving complex graph problems using advanced analytics and machine learning.
  • SQL Expertise: Strong SQL skills to query databases such as SQL Server and Impala.
Additional Skills
  • Experience across all phases of SDLC: requirements analysis, data analysis, modeling, development, testing, and deployment.
  • Excellent verbal and written communication skills.
  • Strong interpersonal skills with a professional approach.
  • Analytical mindset and problem-solving abilities.
  • Ability to quickly learn new techniques and technologies.

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