SrManager,AdvancedAnalytics,FSI

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. The Community You Will Join: Airbnb is scaling how Fraud it’s about building the systems that help Airbnb see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for continuous improvement. Your insights and systems will empower every stakeholder—from legal to operations, policy to product—to make bold, data-driven, and context-aware decisions in real time. A Typical Day: Operational Analytics Define and operationalize KPI frameworks for global Fraud 5+ years leading high-performing teams. Proven ownership of large-scale data products or taxonomies in a regulated environment. Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops) Strong SQL experimentation design, working knowledge of Python/R, ML pipelines. Proven ability to: Design KPI’s and operational metrics Translate ambiguous problems into structured analytical frameworks Influence cross-functional stakeholders (Ops, Product, Policy, Finance) Drive measurable improvements in quality, efficiency, and cost Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements. Track record of enabling legal, policy, ops, product, and engineering teams to make independent, forward-facing, data-driven decisions via self-service Exceptional storyteller with a flair for making complex analytics actionable for every audience, and for championing transformation deep into the organization Preferred Experience Background in Tru