Fraud Modeling - Graph Analytics Engineer

Job Overview

We are seeking a skilled Graph Analytics Engineer to specialize in fraud modeling. This role involves designing, developing, and optimizing graph databases and graph neural network models to detect fraudulent behavior effectively. The position requires collaboration across teams and focuses on delivering scalable fraud analytics solutions using advanced graph technologies.

Key Responsibilities

• Create and refine graph-based fraud detection models leveraging graph databases.
• Design and enhance graph data structures optimized for fraud risk analysis.
• Develop, implement, and fine-tune graph queries using Cypher and Gremlin languages.
• Utilize AWS Neptune and/or Neo4j platforms for implementing graph database solutions.
• Build and deploy Graph Neural Network (GNN) models aimed at detecting fraud and performing link analysis.
• Investigate complex data relationships and behavioral patterns to uncover fraudulent activities.
• Partner with data scientists, engineers, and business teams to design and deliver fraud analytics tools.
• Improve graph database efficiency and ensure the scalability of fraud detection infrastructures.

Candidate Profile

• Proven expertise in fraud modeling and analytics methodologies.
• Hands-on experience working with AWS Neptune and/or Neo4j graph databases.
• Strong command of Cypher query language and Gremlin for graph data manipulation.
• Experience developing Graph Neural Networks (GNNs) for analytical purposes.
• Deep understanding of graph data structures, network analytics, and relationship modeling.
• Robust analytical thinking and problem-solving abilities.
• Excellent communication skills with a capacity for stakeholder engagement.
• Background in financial services, banking, or FinTech environments focused on fraud detection.
• Familiarity with AI and machine learning techniques applicable to fraud prevention.
• Experience working within cloud platforms, especially AWS.
• Programming knowledge in Python or Java for graph analytics is considered beneficial.

Eligibility

Open to candidates with a B.Tech or B.E. degree in any specialization or any graduate degree.