Fraud Intelligence Lead

Airbnb

21h•$125,000 - $145,000•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. Join Fraud and Safety Operations — a dedicated, high-trust team at the heart of Airbnb's mission to protect our Hosts, Guests, and the integrity of our global marketplace. This team works at the intersection of fraud intelligence, data analytics, and platform protection, collaborating closely with Data Science, Product, Global Operations, Safety, Legal, and Community Policy teams. You'll partner cross-functionally to safeguard Airbnb's community against ever-evolving threats. In this role, you will be a senior individual contributor and domain expert driving proactive fraud identification and mitigation across the platform. You will translate complex fraud signals into platform-level controls, rules, and policies — and connect trend-level insights to broader systemic risk. Success means disrupting upstream risks, shaping proactive fraud strategies, and building scalable defenses that directly enhance platform trust and resilience.

Requirements

6+ years of experience in fraud intelligence, risk analytics, or related fields (e.g., financial crime, marketplace fraud, platform abuse).
Demonstrated expertise connecting trend-level insights to broader fraud patterns and systemic risk, rather than just resolving individual cases.
Advanced proficiency with SQL and Python for analysis; experience building dashboards and visualizations in Tableau.
Deep understanding of Account Takeover (ATO), Scams, behavioral analysis, and the development of risk controls.
Proven ability to produce clear, structured investigative writing and present findings to senior leadership, including Directors and above.
Working knowledge of cyber risk frameworks, digital forensics, and platform security.
Track record of driving cross-functional initiatives and influencing outcomes without formal authority.
Experience collaborating with international and cross-functional partners to drive policy, process, and technology improvements.

Nice To Haves

Certifications such as CISSP, CHFI, CEH, GIAC, CFE, or Security+ are preferred.

Responsibilities

Analyze large-scale fraud signals and translate complex data into platform-level controls, rules, and policies to stop bad actors upstream.
Analyze fraud trends and patterns using SQL and Python, utilizing tools to visualize findings and drive data-informed decision-making.
Collaborate and manage relationships with data, product, trust & safety, legal, and policy teams, as well as external vendors, to design and implement new fraud countermeasures and automated defenses.
Develop and present clear investigative reports and fraud intelligence summaries to leadership and cross-functional partners using Slides and data visualization tools.
Identify automation opportunities to streamline detection processes and reduce manual operational lift; build and develop holistic detection systems through prototyping tooling and defining data requirements.
Guide and mentor the team, improving individual capabilities and overall program effectiveness.