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Job ResponsibilitiesSupport the fraud team in developing and enhancing financial crime & fraud systems operated by PayNet.
Explore, develop, implement, and test meaningful fraud systems, solutions, and micro-services (e.g.
National Fraud Portal, Transaction Scoring System, centralized AML solutions, etc.)
to improve industry fraud response and analysis capabilities.
Roll out fraud mitigation measures and strategies to improve collective ecosystem fraud prevention capabilities.
Engage with industry ecosystems e.g.
industry data workshops, industry POCs with banks, e-wallets, regulators, etc.
Data Science & EngineeringIdentify, develop, maintain, support, and enhance data pipelines and infrastructure for data science & analytics initiatives, ensuring data is accessible, secure, and usable.
Support the Data Science team in developing, enhancing, and productionising various statistical and machine learning models to benefit the ecosystem in preventing or combating fraud and scams.
Explore newer generation technologies to uplift functional capabilities across the division.
Drive and support financial crime-related as well as cross-functional divisional data analysis and automation efforts including fraud/risk/compliance/CISO monitoring and reporting processes.
Projects & OthersDrive/support cross-functional or greenfield projects to improve ecosystem fraud, risk management, and security of the company and its services.
Any other related area assigned by the Head, Fraud & Projects and Director of Risk & Compliance.
QualificationsMinimum QualificationsDegree in Information Technology, Business Administration, or other related discipline.
More than 5 years relevant experience in data science and/or engineering.
Technical QualificationsProgramming Skills – Well versed in various data programming languages e.g.
Python, SQL, C#, VBA, etc.
Big Data – Experienced in big data technologies e.g.
Hadoop, Spark, etc.
Cloud – Experienced with cloud computing platforms e.g.
AWS, Azure, GCP, etc.
Data Analytics – Demonstrates ability to derive meaningful insights from data, with the ability to perform basic automation and analytical scripting, database administration, and data visualization.
Product Knowledge - Demonstrate effective working knowledge and understanding of payment products for effective execution of assignments.
Project Management - Demonstrate ability to apply Project Management knowledge for efficient execution of assigned tasks.
Additional RequirementsAdaptability and willingness to quickly learn new programming languages and skills as needed.
Strong conceptual and analytical thinking skills.
Acts as an agent of change and stimulates others to change.
Good written, presentation, and communication skills; able to prepare statistical and narrative reports.
Must be flexible and able to participate in multiple projects simultaneously.
Able to work under broad direction while remaining resourceful and self-motivated.
Excellent interpersonal skills and ability to communicate and manage relationships at all levels.
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