Fraud Intelligence Lead

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Community You Will Join:&nbsp;</strong></span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;">Join Fraud and Safety Operations — a dedicated, high-trust team at the heart of Airbnb's mission to protect our Hosts, Guests, and the integrity of our global marketplace. This team works at the intersection of fraud intelligence, data analytics, and platform protection, collaborating closely with Data Science, Product, Global Operations, Safety, Legal, and Community Policy teams. You'll partner cross-functionally to safeguard Airbnb's community against ever-evolving threats.</span></p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Difference You Will Make:</strong></span></p> <p>In this role, you will be a senior individual contributor and domain expert driving proactive fraud identification and mitigation across the platform. You will translate complex fraud signals into platform-level controls, rules, and policies — and connect trend-level insights to broader systemic risk. Success means disrupting upstream risks, shaping proactive fraud strategies, and building scalable defenses that directly enhance platform trust and resilience.</p> <p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>A Typical Day:&nbsp;</strong></span></p> <ul> <li><strong>Proactive Threat Mitigation:</strong> Analyze large-scale fraud signals and translate complex data into platform-level controls, rules, and policies to stop bad actors upstream.</li> <li><strong>Strategic Analysis:</strong> Analyze fraud trends and patterns using SQL and Python, utilizing tools to visualize findings and drive data-informed decision-making.</li> <li><strong>Cross-Functional Partnerships:</strong> Collaborate and manage relationships with data, product, trust &amp; safety, legal, and policy teams, as well as external vendors, to design and implement new fraud countermeasures and automated defenses.</li> <li><strong>Executive Reporting:</strong> Develop and present clear investigat