Security Analytics Engineer (l4)

Netflix Netflix · Big Tech · United States · Remote · Data & Insights

This role focuses on building intelligence and data-driven insights to address fraud and enhance consumer product security at Netflix. The engineer will analyze patterns, identify new signals for anomaly detection, and develop data solutions for fraud prevention, leveraging expertise in security and fraud prevention.

What you'd actually do

  1. Develop data-driven insights to influence our device & product security strategy, including identifying new signals for anomaly detection
  2. Compile and track anomalous request patterns and identify potential mitigations
  3. Design and champion data‑driven security enhancements that strengthen our devices and safeguard our rich content catalog.
  4. Analyze error logs to quantify potential device-level vulnerabilities
  5. Develop characterizations of request attributes across a diverse device and client ecosystem to quantify potential automation
  6. Build insights into security and identity of the Netflix diverse and large-scale device ecosystem and develop dashboards to cascade the insights to a wide range of stakeholders

Skills

Required

  • analytics (SQL, Presto, sparkSql, python)
  • critical thinking
  • signal development for classification and anomaly detection
  • metrics development
  • storytelling that drive business decisions
  • familiarity with various aspects of fraud and abuse types, including account compromise, piracy, or DDoS

Nice to have

  • security
  • fraud prevention expertise
  • communicator & collaborator

What the JD emphasized

  • security metrics
  • data solutions for detection and prevention
  • fraud landscape
  • security and fraud prevention expertise
  • analyze patterns
  • identify new signals
  • anomaly detection
  • fraud and abuse types
  • account compromise
  • piracy
  • DDoS

Other signals

  • uses ML models for fraud detection
  • builds intelligence to address fraud
  • develops data-driven insights for security strategy
  • analyzes patterns and identifies new signals
  • develops characterizations of request attributes