Turn fraud and device-security signals into detection systems that protect Netflix's product ecosystem

Netflix's Data & Insights team is hiring a Security Analytics Engineer to drive metrics, signal development, and dashboards that detect fraud and abuse (account compromise, piracy, DDoS) across a massive, diverse device ecosystem. This is an analytics-engineering role (SQL/Presto/SparkSQL/Python) sitting at the intersection of security and data, not a pure SOC or pentesting job. Expect a mock built around anomaly-detection signal design, quantifying device-level vulnerabilities from logs, and communicating fraud impact to cross-functional stakeholders.

Step into this interview

Free · a live voice mock calibrated to this exact role

Practice this interview

What this interview tests

Anomaly detection signal design for fraud/abuse (account compromise, piracy, DDoS)
SQL/Presto/SparkSQL and Python for large-scale security analytics
Quantifying device-level vulnerability from error/request logs across a diverse device ecosystem
Metrics development and dashboarding to influence security strategy
Cross-functional storytelling to product/engineering/data science stakeholders