Facebook Risk Analyst, Investigations in Austin, Texas
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.
The mission of the Facebook Risk and Payments team is to enable anyone, anywhere, to be able to pay and be paid with confidence. This can mean different things across our many payments products - from providing support to advertisers who need help paying their bill, helping charities onboard to receive donations, to identifying and resolving fraudulent transactions. Within the Risk and Payments team, Risk Investigations is responsible for end-to-end fraud management for Facebook's suite of payments products. We define performance metrics, build monitoring and alerting systems, investigate emerging fraud trends, create rules, and scale operational workflows.
Apply a data-driven approach to identify, understand, and scope emerging fraud trends on the Facebook platform
Build and maintain fraud rules in response to evolving fraud behaviors
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
A Bachelor's degree in Business, Science, Engineering, Economics or equivalent experience
3+ years experience doing quantitative analysis
Experience 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)
Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at email@example.com.