Job Description

About TymeX

TymeX

is

Tyme Group

's Technology & Product Development Hub with a global mission to become serial bank builders.


Our

Financial Crime

platform plays a critical role in protecting customers and the bank from fraud, money laundering, and other financial crimes using advanced data, AI, and automation.

About the Role

We are seeking a

Graph Data Engineer

to join the Financial Crime Platform team at TymeX.

You'll play a key role in designing, implementing, and optimizing graph-based data models that uncover relationships across customers, entities, devices and transactions -- helping our teams detect fraud, identify hidden connections, and streamline case investigations.


You will work with

graph databases

and visualization tools, collaborating closely with our Data, Compliance, and Product teams to power advanced analytics and case management 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

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.