Qualifications

• Minimum 3 years in Money Movement or Trade Monitoring (AML, Fraud, Surveillance) within Wealth Management/Financial Services.
• 8+ years of overall IT experience, with 3+ years as Architect/Senior Developer with Neo4j.
• Strong expertise in Neo4j Graph Database, including Cypher queries, Graph Data Science, and data ingestion techniques.
• Proficient in optimizing Neo4j performance through query performance tuning and infrastructure review.
• Solid background in Python programming, particularly with Apache Spark and Kafka for data engineering.

Responsibilities

• Design and implement Neo4j database solutions for Money Movement and Trade Monitoring projects.
• Optimize Neo4j database performance through advanced query tuning and infrastructure recommendations.
• Develop data ingestion processes to feed Neo4j from various sources using Python and Apache Spark.
• Integrate real-time processing services with Kafka to manage event data in Neo4j.
• Apply advanced analytics and machine learning techniques to solve complex graph problems.

Benefits

• Opportunity to work on cutting-edge technology in the financial services industry.
• Collaborative environment that values professional development and continuous learning.
• Exposure to advanced analytics and machine learning applications in a high-impact field.
• Access to innovative tools and frameworks for data engineering and graph database management.