Lead, Advanced Analytics, Fraud and Safety Operations
Airbnb · United States
- Hybrid
- Full-time
- $191,000 / year
- United States
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Subject: Interested in the Lead, Advanced Analytics, Fraud and Safety Operations role at Airbnb
Hi Morgan — I came across the Lead, Advanced Analytics, Fraud and Safety Operations opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Airbnb stood out because…
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Job highlights
- Lead advanced analytics for fraud and safety.
- Design systems to mitigate risks at scale.
- Build tools for data-driven decisions.
- Collaborate with cross-functional teams.
- Drive impact through data insights.
About the role
About Airbnb
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 entering a new era—reimagining how fraud, safety, and quality are measured, protected, and elevated across the digital landscape.
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.
Your Expertise
- 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. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
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.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
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
Key skills/competency
- Advanced Analytics
- Fraud Detection
- Safety Operations
- Data Science
- Machine Learning
- Experiment Design
- Causal Inference
- SQL
- Data Modeling
- Risk Management
Skills & topics
- Lead Advanced Analytics
- Fraud Operations
- Safety Operations
- Data Analytics
- Risk Management
- Machine Learning
- Causal Inference
- SQL
- Python
- R
- Experiment Design
- Quantitative Analysis
- Airbnb Careers
- Remote Jobs
- Tech Jobs
How to get hired
- Tailor your resume: Highlight your 5+ years in data analytics, fraud, or safety, emphasizing SQL, Python/R, ML pipelines, and experiment design.
- Showcase your expertise: Detail experience with rare event analysis, causal inference, and building self-service data tools in your application.
- Quantify your impact: Use metrics to demonstrate how your insights and systems have driven data-driven decisions for legal, policy, or product teams.
- Prepare for technical interviews: Be ready to discuss advanced analytics techniques, experiment design, and data modeling in depth.
- Understand Airbnb's mission: Connect your experience in fraud and safety to Airbnb's commitment to community trust and authentic experiences.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Lead, Advanced Analytics role at Airbnb?
- The Lead, Advanced Analytics role at Airbnb focuses on setting high analytical standards to design and deploy systems that mitigate fraud and safety risks at scale, using data to drive critical business decisions.
- What technical skills are essential for this Lead, Advanced Analytics position at Airbnb?
- Essential technical skills include strong SQL and data modeling expertise, familiarity with Python/R, working knowledge of ML pipelines, and significant experience in designing experiments and applying causal inference methods.
- What does 'US - Remote Eligible' mean for this Airbnb job?
- US - Remote Eligible means you can work remotely from a US state where Airbnb, Inc. has a registered entity. Occasional office work or offsite attendance may be required.
- How does Airbnb foster inclusion and belonging for applicants?
- Airbnb is committed to working with a diverse talent pool and believes diverse ideas foster innovation. They also strive to provide a disability-inclusive application and interview process, with accommodations available upon request.
- What kind of impact can I expect to make in this Advanced Analytics role?
- In this role, you will build systems to proactively identify and mitigate fraud and safety risks, democratize data access, and empower various teams to make bold, data-driven decisions that protect the Airbnb community.
- Is prior experience in marketplace or fintech environments necessary for the Lead, Advanced Analytics role?
- While prior work in marketplace, fintech, or travel/hospitality tech environments is preferred, it's not strictly necessary. Strong foundational skills in data analytics, fraud, and safety are key.
- What is the expected experience level for the Lead, Advanced Analytics position?
- The role requires at least 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.
- How are candidates with disabilities supported during the application process at Airbnb?
- Airbnb provides a disability-inclusive application and interview process. Candidates requiring reasonable accommodation should contact reasonableaccommodations@airbnb.com with their full name, role applied for, and necessary accommodation.