Security Analytics Engineer L5

Netflix•,

10d•$400,000 - $680,000

About The Position

The Consumer Security Foundations (CSF) team, within the Consumer Product Security and Trust organization, is responsible for securing Netflix for its customers. CSF develops shared data, tools, and infrastructure that empower Netflix's consumer security teams to protect members and products. Rather than focusing on a single security domain, CSF builds the common foundation, shared pipelines, a central source of truth, and a unified view of risk, thereby enhancing the speed and effectiveness of consumer security teams. The Analytics Engineers on this team transform raw security data into actionable insights through pipelines, metrics, and dashboards, providing a clear, shared perspective of risk to all security teams and Netflix leadership.

Requirements

Domain expertise in consumer product security, such as fraud, account security, abuse/trust & safety, authentication, or privacy, and fluency in how security risk gets measured and reported
Strong engineering fundamentals, including well written, tested, maintainable code, sound data modeling, and data pipelines built to scale
Expert in analytics (SQL, Presto, Spark SQL, Python), with strong critical thinking and a demonstrated ability to turn raw data into clear, compelling narratives
Quick to pick up new tools and techniques, including using AI/LLM-based tools to work faster and smarter across analysis, engineering, and reporting
Comfort operating in ambiguity, building a data model, portfolio, or dashboard from a 0-to-1 state and iterating with cross-functional input
A strong bias for action, comfortable moving fast, making decisions with incomplete information, and driving ideas to production rather than waiting for perfect conditions

Responsibilities

Drive the analytics behind device and authentication risk, digging into signals like device trust, login/auth protocols, and access patterns to surface where and how risk shows up for our members
Be a thought partner in shaping the strategy behind our consumer security risk metrics, deciding what the organization should measure and why, analyzing the underlying data to validate what's meaningful, and translating that into a dashboard that gives every security team a shared, current view of top risks
Define and evolve our consumer product risk portfolio, using data to quantify and prioritize the ground-truth inventory of risk areas across our security organization, driving alignment across teams and with the broader company risk registry
Influence how our organization's risk story is told at the leadership level, shaping the analysis and narrative behind quarterly risk reviews, monthly metrics reviews, and leadership-level cost-of-fraud reporting
Partner strategically with security PMs and product teams to define what a comprehensive security metrics and controls story looks like for each product vertical, and drive its adoption
Collaborate closely with threat-modeling partners to get ahead of emerging risks, using data to shape how they get measured and reported rather than reacting after the fact
Build and maintain the data pipelines and metrics that power our analytics and dashboards, and design solutions other consumer security teams can build on, driving down one-off tooling across the organization