Data Analyst - Fraud Analytics Operations

Job Description

• Investigate fraudulent activity, dig through data to identify behavioral patterns, calculate losses, and propose solutions to mitigate and prevent them.
• Develop automated monitoring reports, detection and notification tools for suspicious transactions occurring across Shopee’s different businesses.
• Test new fraud tools and technologies and uncover new modus operandi of cybercrimes.
• Propose new features on Shopee that can deter or prevent further fraud, and conduct necessary research and data simulations.
• Work with the Legal and Data Privacy teams to address criminal activities and provide evidence for potential litigation, or reporting for Anti Money Laundering.
• Assess potential risks and process vulnerability of campaigns, promos, and new businesses.
• Experience a unique opportunity to work in a multi-industry role that encompasses e-commerce, Fintech, and Consumer Credit.
  
  

• Experience in SQL is crucial, or exposure to other data-mining tools.
• Bachelor’s Degree in Statistics, Mathematics, Industrial Engineering, Management Engineering, Physics, Economics, or equivalent data-savvy fields are prioritized.
• High level of data literacy and strong analytical and investigative skills and critical thinking are required for this position.
• Ability to work with different types of people.
• Strong English communication skills, both written and spoken, and the ability to communicate insights from data to business units.
• Some experience in Analytics for Fraud or Risk Management in e-Commerce, Banking, Fintech, Credit, Remittance, or other relevant fields is highly preferred.
• An in-depth understanding of Shopee, Shopeepay, and SPayLater as a user is an advantage.
• A deep love for improving processes and crafting innovative solutions.
• A strong sense of integrity with handling of sensitive personal information, and a passion to serve victims of fraud.