Fraud Intelligence Analyst

Airbnb

6h•Remote

About The Position

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: Join AirCover Ops, a global team dedicated to safeguarding Airbnb’s platform integrity and trust. You’ll collaborate closely with Data Science, Product, Trust, Safety, Legal, and Policy teams to proactively disrupt fraud before it impacts our community. In this dynamic, cross-functional environment, you’ll influence high-stakes decisions and partner with global experts to set new standards in fraud prevention. The Difference You Will Make: As a Strategic Fraud Specialist, you will lead complex and ambiguous investigations, identifying and disrupting emerging fraud patterns before they reach operational teams. Your work directly strengthens the platform’s fraud resilience and reduces financial risk by translating investigative insights into actionable controls. Success is measured by your ability to uncover hidden fraud rings, create effective early-warning systems, and shape proactive policies that reduce downstream case volume.

Requirements

6+ years’ experience in fraud, financial crimes, cyber-risk, intelligence, or a high-stakes investigative function.
Proven ability to synthesize ambiguous data, identify complex fraud patterns, and make well-reasoned, actionable recommendations.
Advanced SQL proficiency to independently analyze large datasets, plus experience (or active development) with Python.
Strong investigative reporting and narrative skills for cross-functional and leadership audiences.
Credibility, composure, and a proactive mindset when engaging stakeholders across disciplines and geographies.
Authorization to work globally; occasional international collaboration may be required.

Nice To Haves

Prior exposure to fraud tooling, signal detection, or rule development highly preferred.

Responsibilities

Lead deep-dive investigations into high-risk and multi-case fraud patterns, producing comprehensive and structured reports.
Analyze large, ambiguous datasets to detect weak signals and evolving fraud threats.
Develop and recommend upstream safeguards, detection triggers, and policy/process improvements based on investigative findings.
Collaborate daily with Data Science, Product, Trust, Safety, and Legal teams to deploy effective countermeasures and influence platform strategy.
Mentor and upskill peers through case reviews, internal training, and sharing investigative best practices.
Influence high-visibility, cross-functional decisions with clear narratives, written briefs, and trend summaries.