Negotiable
Outside
Remote
USA
Summary: We are seeking a Senior Neo4j Developer/Architect to design and deliver data solutions for fraud detection and prevention within a global investment bank. This role involves collaboration with fraud analysts and engineers to develop graph-based data solutions. The position is open to remote candidates or those willing to relocate to New York City. The ideal candidate will have extensive experience in Neo4j architecture and fraud detection within financial services.
Key Responsibilities:
- Design and deliver high-quality data solutions for fraud detection and prevention.
- Collaborate with fraud analysts and engineers to build graph-based data solutions.
- Maintain applications that help identify and mitigate fraudulent transactions.
- Implement AI/ML-based graph analytics for fraud or risk use cases.
Key Skills:
- 8+ years of total experience, with 3+ years in Neo4j architecture or senior development roles.
- Proven experience in Fraud Detection, AML, or Trade Surveillance within financial services.
- Deep expertise in Neo4j Cypher Queries, Graph Data Science, and Data Ingestion.
- Hands-on experience with Neo4j configuration and performance tuning.
- Strong proficiency in Python for data engineering and integration tasks (Spark, Kafka).
- Strong SQL skills with experience querying databases like SQL Server and Impala.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced, global environment.
Salary (Rate): undetermined
City: New York City
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Senior
Industry: IT
We are seeking an experienced Senior Neo4j Developer/Architect to design and deliver high-quality, resilient data solutions supporting fraud detection and prevention initiatives within a leading global investment bank. This role sits within Non-Financial Risk Technology, specifically in the Fraud Technology division focused on developing and maintaining applications that help identify and mitigate fraudulent transactions.
As part of this team, you will collaborate closely with fraud analysts and engineers to build next-generation graph-based data solutions that enhance operational surveillance and risk mitigation capabilities.
Role: Senior Neo4j Developer
Duration: 6 12 months (initial term)
Location: New York City, NY (preferred) Open to remote or relocation candidates
Required Skills & Experience
- 8+ years of total experience, with 3+ years in Neo4j architecture or senior development roles.
- Proven experience in Fraud Detection, AML, or Trade Surveillance within financial services.
- Deep expertise in Neo4j Cypher Queries, Graph Data Science, and Data Ingestion.
- Hands-on experience with Neo4j configuration and performance tuning.
- Strong proficiency in Python for data engineering and integration tasks (Spark, Kafka).
- Strong SQL skills with experience querying databases like SQL Server and Impala.
- Experience implementing AI/ML-based graph analytics for fraud or risk use cases.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced, global environment.
VDart Group is a global leader in technology, product, and talent solutions, serving Fortune 500 clients across 13 countries. With a workforce of over 4,000 professionals, we focus on delivering innovation across industries including healthcare, finance, and manufacturing. VDart is committed to People, Purpose, and Planet, recognized for sustainability through the EcoVadis Bronze Medal and UN Global Compact membership.