Lead, Advanced Analytics, Fraud and Safety Operations

Role Description

For the role of Lead, Advanced Analyst, we’re looking for a senior individual contributor and subject-matter expert who can set a high analytical standard for the team. You will collaborate with a talented 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. You will 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.

The Difference You Will Make

• This role isn’t just about reporting what happened; 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, frameworks, and systems will empower stakeholders across Legal, Operations, Policy, Product, and Engineering to make bold, data-driven, and context-aware decisions in real time.

A Typical Day

• 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 the platform, reputational, and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives, and systematic learning.

Qualifications

• 5+ 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 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 setting.
• Deep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power.
• Familiarity with account integrity, user authentication, and connected-account vectors, such as social logins, device fingerprinting, and 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.

Your Location

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services, and solutions. All qualified individuals are encouraged to apply.

How We'll Take Care of You

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Pay Range

$164,000 — $191,000 USD