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Fraud Business Intelligence, Regional Operations

4-6 Years
SGD 7,000 - 9,000 per month
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Job Description

Our Regional Operations team-comprising Customer Service, Return & Refund, Listings, Warehouse, Logistics, Seller Operations, and Fraud-drives platform sustainability by ensuring a seamless end-to-end experience for buyers and sellers. The team defines and monitors key KPIs, analyses performance gaps, and partners with local teams to drive improvements. The team also designs and executes strategic operations projects across Shopee markets, implementing initiatives across processes, people, technologies, and policies to optimise operations and enhance user experience.

  • Analyse large datasets to identify fraud trends, uncover root causes, and generate actionable insights using structured analytical frameworks
  • Develop and implement scalable automation and AI-driven solutions (e.g., RPA, workflow optimization, LLM) to improve fraud detection accuracy, operational efficiency, and investigation process
  • Design, build, and maintain data infrastructure (pipelines, aggregated datasets, dashboards, and reports) to ensure reliable tracking of fraud performance and outcomes
  • Drive fraud performance management by defining and monitoring key KPIs/KRIs (e.g., loss rate, detection accuracy, operational efficiency) and delivering clear, executive-ready insights
  • Recommend and implement data-driven enhancements to strengthen fraud controls while balancing risk mitigation and customer experience

Requirements

  • Bachelor's degree in any discipline. A master's degree is advantageous but not required.
  • Minimum 4 years of working experience in a Business Intelligence and/or Data Analytics role
  • At least 1 year of experience in Fraud, Risk Management and/or Trust and Safety
  • Proficiency in SQL and Python
  • Analytical thinker with a strong numerical sense, skilled at detecting trends and simplifying complex data in e-commerce fraud prevention to gain stakeholders alignment
  • Ability to thrive in a dynamic and collaborative environment

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Job ID: 146617781

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