Data Analyst

4 weeks ago

Manila, Philippines Shopee Full time
Data Analyst - Fraud Analytics, Operations

Shopee Manila, National Capital Region, Philippines

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Join to apply for the Data Analyst - Fraud Analytics, Operations role at Shopee

Data Analyst - Fraud Analytics, Operations

Shopee Manila, National Capital Region, Philippines

Join to apply for the Data Analyst - Fraud Analytics, Operations role at Shopee

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  • 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.
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.
Requirements
  • 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.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Other
  • Industries Internet Marketplace Platforms and Technology, Information and Internet

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