Fraud Business Analyst, Regional Operations

Shopee; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

Shopee Singapore is seeking a Fraud Data Analyst to monitor and mitigate fraud risks across platform data, detecting patterns in promotions, payments and account misuse, and translating insights into controls.

You will partner with Product, Security, Marketing, FP&A and Local Operations to implement risk strategies, define KPIs, build dashboards, and drive automation to balance security with customer experience.

Qualifications

• Bachelor’s degree in quantitative or business-related discipline.
• Experience/proficiency in SQL.
• Analytical thinker with strong numerical sense.
• Ability to influence diverse stakeholders on fraud policy changes.
• Self-starter with ownership and project progress management.
• Thrives in a dynamic, collaborative environment.

Responsibilities

• Monitor and mitigate potential fraud risks by analyzing data to detect patterns.
• Define and track KPIs for fraud performance and report trends.
• Apply analytical frameworks to decompose problems and identify root causes.
• Recommend scalable improvements while balancing customer experience.
• Partner with Product, Security, Marketing, FP&A, and Local Ops to implement strategies.
• Champion automation opportunities to reduce manual effort and improve detection.

Skills

Analytical thinking

Stakeholder influence

Self-starter

Education

Bachelor's degree in quantitative or business discipline

Tools

SQL

Job description

About The Team

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 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.

Job Description

• Monitor and mitigate potential fraud risks by analysing platform data to detect emerging fraud patterns (e.g., promotion abuse, payment fraud, account misuse) and translate insights into preventive and detective controls to reduce loss rates
• Drive Fraud Performance Management by defining and tracking KPIs (loss rate, detection accuracy, operational efficiency), building dashboards, and delivering clear, executive-ready reporting on fraud trends and control effectiveness
• Apply structured analytical frameworks to decompose complex fraud problems into actionable insights and root-cause identifications
• Recommend scalable improvements, and proactively strengthen fraud defenses while balancing customer experience
• Partner with Product, Business Security, Marketing, FP&A, and Local Operations teams across markets to implement risk mitigation strategies and new fraud initiatives
• Champion automation opportunities (RPA, AI, workflow improvements) to reduce manual effort, improve investigation throughput, and enhance detection accuracy

Requirements

• Bachelor’s degree in Business Administration, Business Analytics, Economics, Finance, Accounting, Statistics, Mathematics, Information Systems, Computer Science, or any other relevant quantitative or business-related discipline.
• Experience/proficiency in SQL
• 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 influence and align diverse stakeholders on fraud policy changes
• Self starter with strong ownership, ability to proactively manage project progress to achieve business goals
• Ability to thrive in a dynamic and collaborative environment