Graph Data Engineer for Financial Crime platform at TymeX, designing graph data models and pipelines. Collaborating with teams to uncover fraud and optimize data performance.
Responsibilities
Design and implement **graph data models** that represent complex relationships between customers, organizations, transactions, devices, behaviour and events.
Build **graph data pipelines** to extract, transform, and load (ETL) data from multiple internal and external sources.
Develop efficient **queries and Graph Data Science algorithms** to support entity resolution, link analysis, and investigative insights.
Work with graph visualization tools to build intuitive investigation tools for investigators and analysts.
Collaborate with **Financial Crime/Fraud analysts** to translate investigation use cases into graph-driven solutions.
Optimize data performance and ensure data quality across graph structures.
Partner with software engineers and data scientists to integrate graph data into wider Financial Crime/Fraud workflows and detection logic.
Requirements
**Must-Have:**
3+ years of experience in **Data Engineering, Graph Data Modeling**, or related fields.
Hands-on experience with **graph databases** (e.g., Neo4j, TigerGraph, JanusGraph, Neptune or similar).
Proficiency in **Python or PySpark** for data manipulation and integration on Databricks.
Solid understanding of **data modeling, ETL, and query languages** (Cypher preferred).
Strong analytical mindset and problem-solving skills.
Good English communication skills (written and verbal).
Ability to work effectively in **cross-functional, international teams.**
**Nice to Have:**
Experience with graph visualization tools (Bloom, Linkurious etc)
Knowledge of **Entity Resolution, Fraud Detection, or AML / KYC** systems.
Experience integrating graph databases with** case management or Financial Crime/Fraud workflows.**
Familiarity with **cloud-based data platforms** (AWS).
Benefits
Join a **mission-driven product** tackling real-world financial crime challenges through data and technology.
Work with **modern graph technologies** and cutting-edge data platforms.
Collaborate with **global teams** across Vietnam, Philippines, Singapore, and South Africa.
Hybrid working model, flexible hours, and a diverse, inclusive environment.
Competitive salary and professional growth opportunities.
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