Airbnb Data Investigations Analyst 

United States 

646146370

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