Senior / Principal Data Engineer

SUMMARY OF RESPONSIBILITIES 

• Financial Crime & Fraud Solutioning
• Data Science & Engineering
• Projects & Others

KEY AREAS OF RESPONSIBILITIES

FINANCIAL CRIME & FRAUD SOLUTIONING

• Support the fraud team in developing and enhancing financial crime & fraud systems operated by PayNet 
• Support the fraud team in exploring, developing, implementing, and testing 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
• Support the fraud team in exploring and rolling out any other fraud mitigation measures and strategies to improve collective ecosystem fraud prevention capabilities
• Support industry/ ecosystem engagements e.g. industry data workshops, industry POCs with banks, e-wallets, regulators, etc.

DATA SCIENCE & ENGINEERING

• Identify, develop, maintain, support and continuously enhance data pipelines and infrastructure to support data science & analytics initiatives, and to ensure 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 (e.g. automated payment tracing, identity/ account/ transaction profiling & scoring, analysis & discovery of new Modus Operandi, deeper insights on fraud networks, etc.)
• Explore newer generation technologies to continue to uplift functional capabilities across the division
• Drive, deliver 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 & OTHERS

• Drive/ support cross-functional or greenfield projects to improve ecosystem fraud, risk management and security of the company and its services
• Any other related area that is assigned by the Head, Fraud & Projects and Director of Risk & Compliance.

QUALIFICATIONS

Minimum Qualifications 

• Degree in Information Technology, Business Administration or other related discipline.
• More than 5 years relevant experiences in data science and/ or engineering.

Technical Qualifications

• Programming 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. Some applied knowledge in machine learning and AI techniques expected.
• Product Knowledge - Demonstrate effective working knowledge and understanding of the payment products, with the ability to apply said knowledge for effective and efficient execution of the assignments.
• Project Management - Demonstrate ability to effectively apply knowledge of Project Management for efficient execution and management of assigned tasks.

Additional Requirements

• Adaptability and willingness to quickly pick up new programming languages and skills as needed.
• Strong conceptual and analytical thinking skills.
• Acts as an agent of change and stimulates others to change. Paves the way for needed changes; by taking calculated risks to derive maximum benefit.
• Good written, presentation and communication skills; able to prepare statistical and narrative reports.
• Must be flexible and be able to participate in multiple projects simultaneously.
• Able to work under broad direction while remaining resourceful and self-motivated to deliver work independently. Has technical responsibility and accountability for work performed and decisions taken
• Must possess excellent interpersonal skills and able to communicate and manage relationship at all levels with business users, financial institutions, vendors as well as team members.