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Lead, Advanced Analytics, Fraud and Safety Operations

7 hours ago
United States
Full-time
Lead
Data Analyst
Data Science and Analytics
Machine Learning Python R SQL
Apply Now
Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008
View All Jobs 128

Description

  • Collaborate with operations specialists, product managers, data scientists, and engineers to design and deploy systems that mitigate fraud and safety risks at scale.
  • Define and monitor metrics, create data narratives, and build tools that support decisions at the intersection of policy, operations, and risk.
  • Build self-service data tools that enable non-technical teams to run analyses and generate actionable outcomes without gatekeeping.
  • Craft dashboards and executive-ready narratives that surface insights for cross-functional stakeholders.
  • Ensure fraud and safety metrics are scalable, future-proof, and supported by clear governance, ownership, and automated monitoring.
  • Own launch and decision criteria for fraud and safety experiments by defining thresholds and guiding leadership decisions.
  • Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and analysis.
  • Operationalize frameworks to assess the platform, reputational, and regulatory impact of fraud incidents and drive systematic learning.
  • Democratize data access and build scenario simulators for fraud and safety to support rapid, context-aware decision-making.

Requirements

  • 5+ years of experience in data analytics, fraud, safety, or a related quantitative domain, or 2+ years of industry experience with a PhD.
  • Proven ownership of large-scale data products or taxonomies.
  • Strong SQL and data-modeling expertise.
  • Familiarity with Python or R, and working knowledge of ML pipelines.
  • Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform setting.
  • Deep understanding of rare-event measurement, including prevalence estimation, sampling strategy, and statistical power.
  • Familiarity with account integrity, user authentication, and connected-account signals such as social logins and device fingerprinting.
  • Experience in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into improvements.
  • Track record of enabling legal, policy, operations, product, and engineering teams to make independent data-driven decisions through self-service tools.
  • Exceptional storytelling ability to make complex analytics actionable for different audiences.
  • Prior experience in marketplace, fintech, or travel/hospitality tech environments is preferred.
  • Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks is preferred.
  • Exposure to trust and risk domains such as identity verification, fraud, chargebacks, or financial risk management is preferred.
  • Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research, or another quantitative field is preferred.

Benefits

  • Base pay range of $164,000 to $191,000 USD.
  • Eligible for bonus compensation.
  • Eligible for equity.
  • Eligible for benefits.
  • Eligible for Employee Travel Credits.
  • US-remote eligible work arrangement.
  • Occasional work at an Airbnb office or attendance at offsites, as agreed with the manager.

Interested in this position?

Apply directly on the company website

Apply Now

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