Principal Data Engineer: Fraud Analytics & ML Platforms

PayNet (Payments Network Malaysia)

Kuala Lumpur

On-site

MYR 180,000 - 240,000

Full time

3 days ago

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Job summary

PayNet (Payments Network Malaysia) seeks a senior data engineer/scientist to own and evolve data pipelines and analytics for fraud prevention. You will productionise ML models and drive cross-institution collaboration with banks, regulators and e-wallet partners.

This role sits at the intersection of data engineering, ML and financial crime response. The ideal candidate has over five years of experience in data engineering or data science, strong Python/SQL skills, and hands-on big-data/cloud

Qualifications

More than five years of relevant experience in data engineering or data science.
Strong programming in Python and SQL; exposure to languages such as C#, VBA or equivalents.
Hands-on experience with big-data technologies and cloud platforms.

Responsibilities

Build, maintain and enhance data pipelines and infrastructure for analytics and data science.
Productionise machine learning and statistical models for tracing, profiling, scoring and fraud-network insights.
Develop and test fraud solutions and microservices, including transaction scoring and centralised financial crime capabilities.
Drive analytical and automation initiatives across fraud, risk, compliance and CISO monitoring and reporting.
Lead technical delivery across concurrent projects, turning requirements into robust outcomes.