Hybrid Graph Data Engineer – Financial Crime Platform

Posted 3 weeks ago

Apply now

About the role

  • 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.

Job title

Graph Data Engineer – Financial Crime Platform

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job