Job ID: 1009
Position Overview
We are seeking an expert Neo4j Developer for a long-term contract consulting engagement based in New York, NY. This role is critical for our financial services client, focusing on the development of sophisticated graph database solutions to support Fraud detection and Anti-Money Laundering (AML) initiatives. The successful candidate will work across the entire Software Development Life Cycle (SDLC), providing expertise in data architecture, graph modeling, and performance tuning. This is a hybrid role requiring three days of on-site presence per week in our New York office, offering a unique opportunity to solve complex data problems in a high-stakes financial environment.
Key Responsibilities
- Design and implement scalable data models and graph-based solutions using Neo4j.
- Develop and optimize complex Cypher queries to extract actionable insights from interconnected data.
- Apply Neo4j graph algorithms to identify patterns related to financial fraud and money laundering.
- Perform rigorous query performance tuning through advanced indexing, modeling adjustments, and optimization techniques.
- Collaborate closely with business stakeholders in the Fraud and AML departments to translate business requirements into technical specifications.
- Participate in all SDLC phases, including requirements gathering, data analysis, architecture design, development, testing, and deployment.
- Produce high-quality technical documentation and communicate complex technical concepts clearly to both technical and non-technical audiences.
- Ensure the reliability and security of graph-based applications within a regulated financial framework.
Required Technical Expertise
The ideal candidate must have a minimum of 8 years of professional experience in the US, with at least 5 years dedicated to hands-on Neo4j development. We are looking for proven expertise in Cypher and a deep understanding of Neo4j’s built-in and out-of-the-box algorithms. Experience in the financial industry is highly preferred, particularly for candidates who understand the specific data challenges associated with AML and Fraud detection. Strong data analytics skills are essential, as is the ability to optimize database performance for large-scale, real-time applications. You should be proficient in navigating complex data structures and transforming them into efficient graph representations.
Interview and Submission Process
Our selection process is designed to identify the most capable technical talent. It begins with an initial 30-minute video or telephonic screening. Candidates who demonstrate the required technical proficiency will be invited for a second and final round of interviews, which must be conducted on-site in New York. Please note that as part of the submission requirement, all applicants must provide a copy of their valid driving license (DL) along with their resume. This role is open only to US Citizens or Green Card holders. We are looking for professionals with excellent interpersonal skills who can thrive in a collaborative, fast-paced environment.
Special Requirements
Visa: US Citizen or GC holder only. Screening: Must submit DL copy with resume. Interview: Onsite final round required. Domain: Financial (Fraud/AML) experience preferred.
Compensation & Location
Salary: $160,000 – $210,000 per year
Location: New York, NY
Recruiter / Company – Contact Information
Recruiter / Employer: Adventatech Inc
Email: pranjnya@adventatech.com
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