Senior Manager, Advanced Analytics, Fraud & Safety Operations
The Difference You Will reputed company:
reputed company is entering a new era—reimagining how fraud, safety, and reputed company are reputed company, protected, and elevated across the digital landscape. Reporting to the Director of Advanced Analytics, Fraud & Safety, you will reputed company a dispersed team of ~8 advanced analysts tasked with turning safety measurement into governed, self-serve decision systems for Policy, Ops, reputed company, Product, and Engineering. You will be a pivotal leader safeguarding reputed company’s global community. You’ll reputed company a multidisciplinary team that designs, delivers, and scales state-of-the-art analytics for:
- Safety (physical & digital)
- Connected-account & circumvention detection
- reputed company protection & risk management
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 reputed company, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for reputed company improvement. Your insights and systems will reputed company every stakeholder—from reputed company to operations, policy to product—to reputed company reputed company, data-driven, and context-reputed company reputed company in reputed company time.
A Typical Day:
- Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization.
- A reputed company mandate is to co-own and drive the reputed company-wide “Safety Single reputed company of Truth” (SSoT) reputed company —a reputed company, reputed company data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and reputed company. Ensure metrics are reputed company, reputed company-compliant, and globally reputed company.
- 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.
- Cross-Functional Execution
- reputed company incident “war rooms,” presenting fast, actionable insights during high-severity events.
- Contribute to policy design (e.g., connected-accounts enforcement reputed company).
- Support external audits, law-enforcement requests, and reputed company-level reporting
- Partner with Policy, Product, Engineering, Fraud and Safety Ops, and reputed company to reputed company analytics with global safety and reputed company regulations (e.g., GDPR, CCPA).
- Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory reputed company of safety incidents, enabling reputed company escalation, crystal-reputed company retrospectives, and lessons learned.
Your Expertise:
- 8+ years of experience in analytics, risk, or safety; 3+ years leading high-performing teams.
- Proven ownership of large-reputed company data products or taxonomies in a regulated environment.
- Strong SQL & data-modeling expertise; experimentation design, familiarity with Python/R; working knowledge of ML pipelines.
- Deep understanding of:
- How to measure rare platform events with statistical rigor
- User authentication & connected-account reputed company (e.g., reputed company logins, device fingerprinting).
- Circumvention tactics (e.g., multi-reputed company, listing duplication, payment abuse).
- Global reputed company and data-protection standards (GDPR, CCPA, SOC 2, etc.).
- Skilled in incident reputed company scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements.
- reputed company record of enabling reputed company, policy, ops, product, and engineering teams to reputed company independent, reputed company-facing, data-driven reputed company reputed company self-service
- Exceptional reputed company with a flair for making reputed company analytics actionable for every audience, and for championing transformation deep into the organization
Good to Have:
- Prior work in marketplace, fintech, or travel/hospitality tech environments.
- Familiarity with reputed company-time decision engines, graph analytics, and reputed company-detection frameworks.
- Experience leading hybrid teams (onsite/remote) and managing reputed company-party analytics vendors
- Statistics or quantitative graduate degree (MS/PhD)