Graph Data Engineer - Financial Crime Platform
Location: Millers Point, New South Wales, Australia.
About TymeX
TymeX is Tyme Group's Technology & Product Development Hub, committed to building banks and systems that protect customers from fraud, money laundering, and other financial crimes.
About the Role
As a Graph Data Engineer, you will design, implement, and optimise graph-based data models that expose relationships among customers, entities, devices, and transactions.
Your work will empower the Financial Crime Platform to detect fraud, uncover hidden connections, and streamline investigative workflows.
Key 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
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).
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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