Security Risk Analyst, Risk Engineering (AI)

Location: San Francisco, CA or New York City, NY; hybrid work with at least 25% office attendance

Annual salary: $270,000–$345,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Drive ambiguous security risk questions to documented decisions and communicate qualitative and quantitative tradeoffs.
• Lead FAIR-based quantitative analysis using scenario decomposition, calibrated estimation, and Monte Carlo simulation.
• Partner with Security Engineering to assess threat scenarios, control effectiveness, and remediation priorities.
• Frame risk treatment decisions with recommendations, uncertainty statements, and re-evaluation triggers.
• Shape leadership risk reviews, risk appetite, and organizational risk metrics.
• Use AI and automation to scale analysis and create reusable methods, templates, training, and self-service tooling.

Requirements

• Bachelor’s degree or equivalent education, training, and experience in a relevant field.
• End-to-end experience owning qualitative and quantitative security or technology risk analysis.
• Hands-on FAIR-style quantification, including calibrated estimation and Monte Carlo simulation using Python, R, or spreadsheet tools.
• Technical security depth sufficient to model attack paths and collaborate credibly with security engineers.
• Ability to communicate complex risk positions clearly to senior decision makers and defend recommendations.
• Ability to work from the San Francisco or New York City office at least 25% of the time.

Nice to have

• Experience with FAIR-CAM, control effectiveness, or attack path modeling.
• Experience building cyber risk quantification programs, tooling, templates, or training.
• Background in security engineering, detection, threat intelligence, actuarial science, or decision science.
• Knowledge of security risks specific to AI systems and their impact on threat models.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Flexible working hours and an office environment for collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, subject to role and candidate eligibility.