[Remote] reputed company, Advanced Analytics, Fraud and Safety Operations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global company that has transformed the way people experience travel and hospitality. They are seeking a reputed company, Advanced Analytics professional to set high analytical standards and collaborate with various teams to design systems that mitigate fraud and safety risks. This role focuses on democratizing data reputed company, building tools for decision-making, and empowering stakeholders across the organization with actionable insights.

Responsibilities

• Build self-service data tools that reputed company non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed reputed company 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 reputed company
• 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

Skills

• 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 reputed company 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 reputed company 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 reputed company reputed company self-service tools
• Exceptional reputed company with the ability to reputed company reputed company analytics actionable for every audience
• Prior work in marketplace, fintech, or travel/hospitality tech environments
• Familiarity with reputed company-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

Benefits

• Bonus
• Equity
• Benefits
• Employee Travel Credits

Company Overview