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Shopee

Fraud Business Analyst, Regional Operations

Shopee

Singapore · 全职

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职位描述

About The Team

The Regional Operations team at Shopee encompasses areas such as Customer Service, Return & Refund, Listings, Warehouse, Logistics, Seller Operations, and Fraud. This team supports platform sustainability by providing a smooth end-to-end experience for buyers and sellers. Their responsibilities include defining and monitoring key performance indicators (KPIs), analyzing performance shortcomings, and collaborating with local teams to enhance operations. They also lead strategic operational projects across Shopee’s markets that involve improving processes, people, technology, and policies to optimize operations and elevate user satisfaction.

Job Description

  • Oversee and reduce potential fraud risks by examining platform data to uncover new fraud patterns, including promotion misuse, payment fraud, and account abuse, then convert these insights into proactive and detective measures to minimize losses.
  • Manage Fraud Performance by determining and tracking relevant KPIs such as loss rates, detection accuracy, and operational efficiency, creating dashboards, and presenting insightful reports on fraud trends and the efficacy of controls to executives.
  • Utilize methodical analytical techniques to break down complicated fraud issues into actionable insights and identify root causes.
  • Propose scalable enhancements and actively reinforce fraud prevention while maintaining a positive customer experience.
  • Collaborate with cross-functional teams including Product, Business Security, Marketing, FP&A, and Local Operations to deploy risk reduction strategies and new anti-fraud initiatives across markets.
  • Lead efforts to automate manual processes using technologies like Robotic Process Automation (RPA), Artificial Intelligence (AI), and workflow enhancements to boost investigation efficiency and improve detection capabilities.

Requirements

  • Bachelor’s degree in disciplines such as Business Administration, Business Analytics, Economics, Finance, Accounting, Statistics, Mathematics, Information Systems, Computer Science, or related quantitative/business fields.
  • Proficient in SQL for data analysis purposes.
  • Strong analytical aptitude with an excellent grasp of numerical data, adept at recognizing trends and simplifying complex datasets within the e-commerce fraud domain to align stakeholders.
  • Capable of influencing and gaining consensus from diverse stakeholder groups on adjustments to fraud policies.
  • Demonstrated self-motivation and ownership, with the ability to independently drive project milestones to fulfill organizational objectives.
  • Comfortable thriving in a fast-changing, cooperative work environment.

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