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Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Company is a fast, simple and reliable way to talk to anyone in the world. More than 1 billion people in over 180 countries use Company to stay in touch with friends and family, anytime and anywhere. Company is not only free but also available on multiple mobile devices and in low connectivity areas — making it accessible and reliable wherever you are. It's a simple and secure way to share your favorite moments, send important information or catch up with a friend. Company helps people connect and share no matter where they are in the world.
Apply your expertise in data mining and quantitative analysis to understand how fraud is proliferating on the Company Payments platform
Implement effective countermeasures to eliminate fraud based on these identified patterns
Drive key performance metrics such as fraud losses, false positives, and operational efficiency
Partner with Data Science, Product, Engineering and Operations teams to solve problems at scale
2+ years experience doing quantitative analysis : Experience working with online/mobile payment product
Experience in defining, utilizing and communicating performance metrics
Experience manipulating large data sets in SQL or equivalent, and drawing actionable insights from data
Experience in at least one scripting language (PHP, Python, Perl), statistical software (R, SAS, SPSS), or data visualization tool (Tableau)
Bachelor's degree in Business, Science, Engineering or Economics
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