Lead, Advanced Analytics, Fraud and Safety Operations - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$164,000–$191,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $178k
$148k most similar roles pay here $222k

This role pays less than 60% of similar roles. Most pay $155,500–$214,700 — the shaded band above. At the midpoint, this role pays about $178k versus about $185k for comparable roles.

Based on 239 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 74 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 48 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

TL;DR · Lead, Advanced Analytics, Fraud and Safety Operations - Careers

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As the Lead Advanced Analyst at Airbnb, you will join a cross-functional team of experts to develop and deploy systems that mitigate fraud and safety risks on a global scale. Your day-to-day responsibilities include building self-service data tools for non-technical teams, crafting compelling narratives and dashboards for executives, ensuring metrics are scalable and supported by clear governance, and operationalizing frameworks for rapid incident assessment. You will need 5+ years of experience in data analytics or fraud prevention with strong SQL skills, proficiency in Python/R, and expertise in designing experiments and applying causal inference methods. Familiarity with account integrity, user authentication, and real-time decision engines is preferred. This role requires a deep understanding of how to measure rare events statistically and the ability to enable cross-functional teams to make data-driven decisions independently.

Skills

SQL Python R ML pipelines Causal inference methods Data modeling Experiment design Fraud detection Account integrity User authentication Incident impact scoping Scenario planning Self-service data tools Dashboards CI/CD

What you'll do

  • Design and deploy systems to mitigate fraud and safety risks at scale.
  • Define and monitor metrics for fraud and safety across the platform.
  • Build tools that enable non-technical teams to conduct deep analyses independently.
  • Craft data narratives and dashboards for executives and cross-functional teams.
  • Ensure fraud and safety metrics are scalable, future-proofed, and governed clearly.
  • Operationalize frameworks to assess and size impacts of fraud incidents rapidly.

What we're looking for

  • 5+ years of experience in data analytics, fraud prevention, safety, or related quantitative fields.
  • Proven track record of owning large-scale data products and taxonomies.
  • Expertise in SQL, data modeling, Python/R, and ML pipelines.
  • Strong background in designing experiments and applying causal inference methods.
  • Deep understanding of measuring rare events with statistical rigor and sampling strategies.
  • Skilled in incident impact scoping, post-incident analytics, and translating insights into improvements.
  • Experience enabling cross-functional teams to make independent data-driven decisions via self-service tools.

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