Principal Data Engineer (Fraud Projects)

RPG Enterprises; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Payments Network Malaysia Sdn Bhd (PayNet) is seeking a Senior Data Engineer / Data Scientist to shape secure data pipelines and analytics infrastructure for the nation’s payment ecosystem.

You will productionise statistical and machine learning models for fraud prevention and payment tracing, collaborating with banks, e-wallets, regulators and internal teams to deliver practical ecosystem solutions that scale.

Qualifications

• More than five years of relevant experience in data engineering, data science or both.
• Strong programming capability in Python and SQL, with exposure to C#, VBA.
• Hands-on experience with Hadoop or Spark, cloud platforms (AWS/Azure/GCP), and Kubernetes.
• Applied knowledge of ML, automation and data visualization.
• Excellent communication across business users, banks, regulators and technical teams.

Responsibilities

• Build, maintain and enhance data pipelines and infrastructure for analytics.
• Productionise ML and statistical models for fraud detection and tracing.
• Develop and test fraud solutions and microservices.
• Drive analytics and automation across risk, compliance and monitoring.
• Lead technical delivery across concurrent projects.

Skills

Data engineering

Data science

Python

SQL

C#

VBA

Hadoop

Spark

AWS

Azure

GCP

Kubernetes

Machine learning

Automation

Data visualization

Communication

Education

Related degree

Tools

Cloud platforms

Job description

• Shape data capabilities that strengthen how Malaysia’s payment ecosystem responds to fraud and scams
• Build solutions spanning payment tracing, profiling, scoring, fraud-network analysis and emerging modus operandi
• Work at the intersection of data engineering, machine learning and industry-wide financial crime response
• Partner with banks, e-wallets, regulators and internal specialists on proofs of concept and ecosystem initiatives
• Explore new-generation technologies that uplift fraud, risk, compliance and security capabilities

TL;DR

• Own secure, reliable and usable data pipelines and infrastructure for analytics and data science
• Productionise statistical and machine learning models that improve fraud prevention and investigation outcomes
• Drive financial crime analytics, automation, monitoring and reporting across Risk & Compliance
• Lead technical decisions with broad direction, clear accountability and independent delivery
• Contribute at Senior or Principal level, bringing more than five years of relevant data science or engineering experience

Why This Role Matters

• Turn complex payment data into capabilities the ecosystem can use to combat fraud and scams
• Bridge experimentation and production so analytical models deliver dependable operational value
• Improve collective fraud response by connecting data, systems and cross-industry stakeholders
• Raise the division’s ability to monitor, analyse and automate fraud, risk, compliance and CISO processes
• Shape greenfield and cross-functional projects that strengthen PayNet’s services and security

What You Will Actually Do

• Build, maintain and continuously enhance data pipelines and infrastructure that keep data accessible, secure and usable
• Productionise machine learning and statistical models for payment 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, deciding how to move from ambiguous requirements to robust outcomes
• Engage financial institutions, e-wallets, regulators, vendors and internal teams to shape practical ecosystem solutions

Examples of This Role in Practice

• A fraud model performs well in experimentation; you decide how to engineer, deploy and monitor it for dependable production use
• Payment data sits across multiple sources; you shape a secure pipeline that makes it usable for tracing and network analysis
• Banks and e-wallets join an industry proof of concept; you translate shared needs into a testable data solution
• A new fraud pattern emerges; you build analysis that helps specialists discover accounts, identities and transactions of interest
• Monitoring relies on manual work; you drive automation that improves the quality and repeatability of risk reporting

What Will Help You Succeed

• More than five years of relevant experience in data engineering, data science or both, supported by a related degree
• Strong programming capability in Python and SQL, with working exposure to languages such as C#, VBA or equivalents
• Hands-on experience with big-data technologies such as Hadoop or Spark, cloud platforms such as AWS, Azure or GCP, and container orchestration using Kubernetes
• Applied knowledge of machine learning, analytical scripting, databases, automation and data visualisation
• Sound judgment, conceptual thinking and the confidence to take accountable technical decisions under broad direction
• Clear communication and relationship skills across business users, financial institutions, regulators, vendors and technical teams

Embark on an exciting career journey with Payments Network Malaysia Sdn Bhd (PayNet), the heartbeat of Malaysia's financial markets!

As the national payments network and a pivotal infrastructure for Malaysia’s dynamic financial markets, PayNet is a linchpin in advancing the nation’s digital economy.

Our comprehensive suite of retail payment solutions - encompassing DuitNow (QR and P2P), JomPAY (Bill Payments), FPX (Online), MyDebit (Domestic Debit), MEPS (ATM), and IBG (Interbank GIRO) - not only offer wide accessibility but are seamlessly integrated into the fabric of daily life in Malaysia. These services have revolutionised the way Malaysians handle financial transactions, marking a significant leap in consumer convenience and efficiency.

At PayNet, our focus is on providing a safe, efficient, and innovative payments system. We are dedicated to improving and managing payment services that meet the evolving needs of consumers and businesses. Our work ensures the stability and reliability of Malaysia’s financial system, supporting the growth of the economy.

Learn more about our work and how we are contributing to Malaysia's financial future at www.paynet.my.

Join us in embracing digital payments and advancing Malaysia's financial landscape.