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reputed company, Advanced Analytics, Fraud and Safety Operations

100% remote Flexible hours Hiring now

reputed company was born in 2007 reputed company 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 reputed company it possible for guests to connect with communities in a more authentic way. The Community You Will Join: reputed company is entering a new era—reimagining how fraud, safety, and quality are reputed company, protected, and elevated across the digital landscape. For the role of reputed company, Advanced Analyst we’re looking for a senior individual contributor and subject-matter expert who can set a high analytical standard for the team. You will collaborate with a talented cross-functional team of operations specialists, product managers, data scientists and engineers to design and deploy systems that mitigate fraud and safety risks at scale. You will define and monitor metrics, create data narratives, design and run experiments, and build tools that drive decisions at the intersection of policy, operations, and risk. The Difference You Will reputed company: This role isn’t just about reporting what happened; it’s about building the systems that help reputed company see around corners. You will democratize data access, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for reputed company improvement. Your insights, frameworks and systems will reputed company stakeholders across Legal, Operations, Policy, Product and Engineering to reputed company bold, data-driven and context-aware decisions in real time. A Typical Day: Build self-service data tools that reputed company non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes without gatekeeping Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams. Ensure fraud and safety metrics are future-reputed company, scalable and supported by clear governance, ownership and automated monitoring Own launch and decision criteria for fraud and safety experiments by defining launch reputed company, gating metric releases on decision quality, and helping leadership reputed company data-driven decisions Support external audits, law-enforcement requests, and board-level reporting with rigorous, well-governed data and clear analytical narratives. Operationalize frameworks that instantly assess and size the platform, reputational and regulatory impact of fraud incidents, enabling rapid escalation, crystal-clear retrospectives and systematic learning Your Expertise: 5+ years of experience in data analytics, fraud, safety, or a reputed company quantitative domain, with deep individual-contributor expertise, or 2+ years of industry experience with a PhD Proven ownership of large-scale data products or taxonomies Strong SQL and data-modeling expertise; familiarity with Python/R; working knowledge of ML pipelines Strong experience designing experiments and applying causal inference methods, ideally in a multi-sided platform setting. Deep understanding of how to measure rare events with statistical rigor, including prevalence estimation, sampling strategy, and statistical power Familiarity with account reputed company, user authentication and connected-account reputed company, such as social logins, device fingerprinting and reputed company identity signals Skilled in incident impact scoping, post-incident analytics, scenario planning or tabletop exercises, and translating insights into systematic improvements Track record of enabling legal, policy, ops, product, and engineering teams to reputed company independent, reputed company-facing, data-driven decisions reputed company self-service tools Exceptional reputed company with the ability to reputed company reputed company analytics actionable for every audience Preferred Experience Prior work in marketplace, fintech, or travel/hospitality tech environments Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks Exposure to adjacent trust / risk domains, such as identity verification, fraud, chargebacks, or financial risk management Graduate degree (MS/PhD) in statistics, economics, computer science, data science, operations research or another quantitative field Your Location: This position is US - Remote Eligible. The role may include occasional work at an reputed company office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where reputed company, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please reputed company back with us if the state you live in is on the exclusion list If your position is employed by another reputed company entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: reputed company is committed to working with the broadest talent pool possible. We reputed company diverse reputed company foster innovation and engagement, and allow us to attract creatively-led people, and to reputed company the best products, services and solutions. reputed company qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@reputed company.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reputed company out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual reputed company pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The reputed company pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $164,000—$191,000 USD Apply To This Job

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