Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 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 a community built on trust, and Trust Operations is committed to enhancing trust by proactively mitigating risk on the Airbnb platform.

The Difference You Will Make:

The Risk Intelligence team provides advanced analytics and intelligence support to detect and analyze complex threats and attacks on Airbnb’s platform, searching for fingerprints of syndicated bad actors, and helping to mitigate those risks.

A Typical Day:

• Perform thorough and comprehensive analysis of data to identify potential fraudulent activities, investigate potential fraud trends, and take appropriate mitigation action in accordance with company policies and procedures
• Monitor and review user and account signals to detect any suspicious or unusual behavior
• Utilize various fraud detection tools and techniques to identify and mitigate fraudulent activities
• Conduct risk assessments and provide recommendations for mitigating potential risks
• Collaborate with cross-functional teams to develop and implement fraud detection and prevention strategies
• Own data analysis and visualization as it relates to areas of online fraud; communicate associated outcomes and insights to various partners, including senior management 
• Develop dashboards, and draft detailed reports that provide reliable, easily digestible insights to key collaborators to help guide decisions around process, policy, and systems
• Work closely with policy, data science, and product teams to identify and close fraud vulnerabilities and educate on fraud risks

Your Expertise:

• (3+) years experience in SQL / Python detecting patterns of online fraud behavior through proactive investigation of user, transaction, and other activity data
• BA / BS in engineering/computer science/statistics / similar field or equivalent relevant experience (e.g., Data Analytics, Internet Industry, Intelligence, Cyber Security, Research, Risk and Fraud Investigation, etc.) 
• Experience and deep understanding of fraud and cyber security issues, and how these risks can impact a technology platform
• Experience creating data visualizations and drafting detailed reports
• Meticulous and analytical individual with a passion for detecting and preventing fraudulent activities
• Thrives in fast-paced environments, and has handled a breadth of online fraud and risk-related issues of varying sensitivity and complexity, and is comfortable with handling deep fraud and risk
• Ability to analyze data for patterns, trends or developing heuristics
• Qualitative and quantitative skill in fraud, and the ability to learn and adapt to new technologies 
• Ability to express thoughts and ideas in a fluent and clear manner
• Excellent problem-solving skills and the ability to comprehend and communicate complex technical issues
• Team player with great interpersonal skills

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.