Security Analytics Engineer, L5

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Drive analytics behind device and authentication risk, including device trust, login/authentication protocols, and access patterns • Shape strategy for consumer security risk metrics and translate findings into dashboards • Define and evolve the consumer product risk portfolio using data to quantify and prioritize risk areas • Shape analysis and narratives for quarterly risk reviews, monthly metrics reviews, and leadership-level cost-of-fraud reporting • Partner with security product managers and product teams to define and drive adoption of security metrics and controls • Collaborate with threat-modeling partners to measure and report emerging risks • Build and maintain data pipelines and metrics powering analytics and dashboards • Design reusable solutions for consumer security teams and reduce one-off tooling

🎯 Requirements

• Domain expertise in consumer product security, such as fraud, account security, abuse/trust & safety, authentication, or privacy • Strong engineering fundamentals, including well-written, tested, maintainable code • Sound data modeling and scalable data pipelines • Expert analytics skills in SQL, Presto, Spark SQL, and Python • Strong critical thinking and ability to turn raw data into clear, compelling narratives • Ability to quickly learn new tools and techniques, including AI/LLM-based tools • Comfort operating in ambiguity and building data models, portfolios, or dashboards from 0-to-1 • Bias for action and comfort making decisions with incomplete information • Ability to drive ideas to production

🏖️ Benefits

• Annual salary compensation structure with no bonuses • Choice each year between salary and stock options • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time salaried employees are immediately entitled to flexible time off