# Senior Manager, Advanced Analytics, Fraud & Safety Operations
**Company:** [Airbnb](https://hotfix.jobs/companies/airbnb)
**Location:** Remote
**Salary:** $212K-$265K
**Experience:** 8+ years
**Skills:** SQL, Python, R, Ml Pipelines, Data Modeling, Experimentation Design, Statistical Analysis, Python/R, Graph Analytics, Anomaly Detection
**Posted:** 2026-04-09
> Leads a team of advanced analysts to build self-service analytics systems and data products for fraud detection, safety measurement, and privacy risk management at Airbnb. Requires 8+ years in analytics/risk, strong SQL/Python/ML skills, and experience owning large-scale data taxonomies.
## Job Description
## Responsibilities
- Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization.
- Co-own and drive the enterprise-wide “Safety Single Source of Truth” (SSoT) strategy—a unified, structured data asset and taxonomy that underpins decision-making across Product, Operations, Policy, and Legal. Ensure metrics are future-proof, privacy-compliant, and globally scalable.
- Build self-service data tools that empower non-technical teams to ask deep questions, run “what if” analyses, and generate actionable, data-backed outcomes.
- Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams.
- Lead incident “war rooms,” presenting fast, actionable insights during high-severity events.
- Contribute to policy design (e.g., connected-accounts enforcement thresholds).
- Support external audits, law-enforcement requests, and board-level reporting.
- Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations (e.g., GDPR, CCPA).
- Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents.

## Requirements
- 8+ years of experience in analytics, risk, or safety; 3+ years leading high-performing teams.
- Proven ownership of large-scale 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 measuring rare platform events with statistical rigor, user authentication & connected-account vectors (e.g., social logins, device fingerprinting), circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse), global privacy and data-protection standards (GDPR, CCPA, SOC 2).
- Skilled in incident impact scoping, post-incident analytics, and scenario planning or tabletop exercises.
- Track record of enabling legal, policy, ops, product, and engineering teams to make independent, data-driven decisions via self-service.
- Exceptional storyteller with a flair for making complex analytics actionable.

## Nice-to-Haves
- Prior work in marketplace, fintech, or travel/hospitality tech environments.
- Familiarity with real-time decision engines, graph analytics, and anomaly-detection frameworks.
- Experience leading hybrid teams (onsite/remote) and managing third-party analytics vendors.
- Statistics or quantitative graduate degree (MS/PhD).
**Apply:** https://hotfix.jobs/jobs/senior-manager-advanced-analytics-fraud-safety-operations-at-airbnb-44172bc7-0f65-486f-8589-077f95927b6c
**Canonical:** https://hotfix.jobs/jobs/senior-manager-advanced-analytics-fraud-safety-operations-at-airbnb-44172bc7-0f65-486f-8589-077f95927b6c