Lead, Advanced Analytics, Fraud and Safety Operations

Details

Airbnb is entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape.

You will join a cross-functional team of operations specialists, product managers, data scientists, and engineers to design and deploy systems that mitigate fraud and safety risks at scale. As a senior individual contributor and subject-matter expert, you will set a high analytical standard for the team, define and monitor metrics, create data narratives, design and run experiments, and build tools that drive decisions at the intersection of policy, operations, and risk.

Responsibilities

• Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping.
• Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
• Ensure fraud and safety metrics are future-proof, scalable and supported by clear governance, ownership and automated monitoring.
• Own 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 decisions.
• Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narratives.
• Operationalize frameworks that instantly assess and size platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, clear retrospectives and systematic learning.

Requirements

• 5+ years of experience in data analytics, fraud, safety, or a related quantitative domain as an individual contributor (or 2+ years with a PhD).
• Proven ownership of large-scale data products or taxonomies.
• Strong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelines.
• Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform.
• Deep understanding of measuring rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power.
• Familiarity with account integrity, user authentication and connected-account vectors (e.g., social logins, device fingerprinting, related identity signals).
• Skilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and 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 tools.
• Exceptional storyteller with the ability to make complex analytics actionable for every audience.

Preferred Experience

• Prior work in marketplace, fintech, or travel/hospitality tech environments.
• Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks.
• Exposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk management.
• Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative field.

Location & Work Arrangement

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed with your manager. While Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. If your position is employed by another Airbnb entity, your recruiter will inform you which states you are eligible to work from.

Inclusion & Accessibility

Airbnb is committed to working with the broadest talent pool possible and providing a disability-inclusive application and interview process. Candidates who require reasonable accommodation for the recruiting process are invited to contact [email protected] with their full name, the role, and the accommodation needed.

Compensation & Benefits

The base pay range for this role is $164,000—$191,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Actual base pay is dependent on factors such as training, transferable skills, work experience, business needs and market conditions.