[Remote] Lead, Advanced Analytics, Fraud and Safety Operations

Note: The job is a remote job and is open to candidates in USA. Airbnb, founded in 2007, has grown to over 5 million hosts and aims to enhance fraud and safety measures in the digital landscape. The Lead, Advanced Analytics will set high analytical standards, collaborate with cross-functional teams, and build systems to mitigate fraud and safety risks while empowering stakeholders to make data-driven decisions.ResponsibilitiesBuild self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeepingCraft compelling narratives and dashboards that surface insights to executives and cross-functional teamsEnsure fraud and safety metrics are future-proof, scalable and supported by clear governance, ownership and automated monitoringOwn launch and decision criteria for fraud and safety experiments by defining launch thresholds, gating metric releases on decision quality, and helping leadership make data-driven decisionsSupport external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narrativesOperationalize frameworks that instantly assess and size the platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives and systematic learningSkills5+ years of experience in data analytics, fraud, safety, or a related quantitative domain, with deep individual-contributor expertise, or 2+ years of industry experience with a PhDProven ownership of large-scale data products or taxonomiesStrong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelinesStrong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform settingDeep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical powerFamiliarity with account integrity, user authentication and connected-account vectors, such as social logins, device fingerprinting and related identity signalsSkilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into systematic improvementsTrack record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service toolsExceptional storyteller with the ability to make complex analytics actionable for every audiencePrior work in marketplace, fintech, or travel/hospitality tech environmentsFamiliarity with real-time decision engines, graph analytics, and anomaly-detection frameworksExposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk managementGraduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative fieldBenefitsBonusEquityBenefitsEmployee Travel CreditsCompany OverviewAirbnb is an online community marketplace for people to list, discover, and book accommodations through mobile phones or the Internet. It was founded in 2008, and is headquartered in San Francisco, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.airbnb.com.Company H1B SponsorshipAirbnb has a track record of offering H1B sponsorships, with 27 in 2026, 234 in 2025, 176 in 2024, 160 in 2023, 270 in 2022, 250 in 2021, 274 in 2020. Please note that this does not guarantee sponsorship for this specific role.