Security Analytics Engineer L5
Core
Build shared data pipelines, metrics, and dashboards to transform raw security data into actionable risk narratives for Netflix leadership and security teams.
Role type
Senior Security Analytics Engineer (Consumer Product Security)
Builds
Centralized risk data pipelines, unified risk dashboards, and strategic risk metrics for the Consumer Security Foundations team.
Domain
Consumer product security, fraud detection, authentication, and trust & safety.
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Presto, Spark SQL, Python, data modeling, data pipeline engineering, critical thinking, narrative storytelling from data, AI/LLM tool usage.
Preferred skills
Domain expertise in fraud, account security, abuse/trust & safety, authentication, or privacy.
Technologies
SQL, Presto, Spark SQL, Python, AI/LLM-based tools.
Responsibilities
Drive analytics on device and authentication risk signals; shape strategy for consumer security risk metrics; define and evolve the consumer product risk portfolio; influence leadership-level risk narratives and reporting; partner with security PMs to define comprehensive metrics stories; collaborate with threat-modeling partners to measure emerging risks; build and maintain scalable data pipelines and metrics.
Seniority
Senior, hands-on IC
