WhatsApp is a fast, simple and reliable way to interact with anyone in the world. More than 2.5 billion people in over 180 countries use WhatsApp to stay in touch with friends and family, anytime and anywhere. WhatsApp 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. WhatsApp helps people connect and share no matter where they are in the world. The Integrity Operations Team at WhatsApp is dedicated to ensure that those users have a safe, secure and high-quality experience. We are responsible for educating and protecting our users from unwanted/unsolicited messages, media, and phishing attempts. We identify patterns and behaviors using internal tools to mitigate attacks and other violations. We're looking for a Business Integrity Project Manager to help our Business Integrity team operate more efficiently and proactively develop solutions to protect our end users. In this role you will address large-scale business integrity issues and partner with Product, Engineering, Data Science and Legal teams to create scalable solutions.Bachelor's degree 4+ years of work experience in an analytics role involving strategy, problem solving, and/or technical systems Experience with assessing, analyzing and resolving complicated issues, and distill that complexity into simple and concise communication Experience building connections with cross-functional partners and team members through effective communication and collaboration, while delivering results in a goal-oriented environment Proficiency with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Familiarity with WhatsApp Experience working within Trust and Safety, Fraud or Payments Risk Advanced degree with a quantitative focus (Computer Science, Statistics, Finance, Information Systems, Applied Economics or similar technical field) or equivalent practical experience Experience presenting complex data insights to leadership