Data Analyst - Fraud Analytics, Operations

Job DescriptionInvestigate 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. RequirementsExperience 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.