Security Risk Analyst, Risk Engineering

About the Role

The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function, using automation, quantitative risk, and AI-native platforms to enable decision making. The risks we assess span Anthropic's full security landscape, so the team needs breadth across domains and the judgment to go deep wherever a decision demands it. Security Risk, in deep partnership with Security Engineering, helps define the security program and shapes how investment and treatment decisions get made.

As a Security Risk Analyst, you will take risk questions from leadership and partner teams and drive them to a decision. Sometimes that is a fast, structured qualitative assessment and other times it is a deep FAIR-based quantitative analysis. You will help turn quantitative risk into a product partner teams can leverage and define the standards a growing risk function will run on.

Key Responsibilities

• Enable leadership and partner teams to make risk-informed decisions. Take ambiguous risk questions, drive them to a documented decision, and communicate quantitative and qualitative tradeoffs clearly.
• Lead quantitative analysis of the company's top security risk scenarios using FAIR, calibrated estimation, and simulation, working with the engineers who own the systems.
• Partner with Security Engineering to assess threat scenarios and control effectiveness so security investment is right-sized to actual risk and remediation is sequenced where it buys down the most risk.
• Frame escalations and risk treatment decisions with a clear recommendation, an honest statement of uncertainty, and re-evaluation triggers.
• Shape the analysis and narrative behind leadership risk reviews, and help define risk appetite and risk metrics.
• Use AI and automation to scale risk analysis, owning calibration and quality reviews.
• Turn one-off analyses into reusable methods, templates, and training to make risk analysis self-service.

Qualifications

• Experience owning security or technology risk analysis end-to-end (qualitative and quantitative) that resulted in changed decisions (funding calls, launch calls, remediation sequences, or documented acceptances).
• Hands-on FAIR-style quantification experience, including scenario decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling.
• Ability to frame ambiguous, moving questions into analyzable models and drive to decisions.
• Sufficient technical security depth to decompose attack paths with security engineers.
• Strong written and verbal communication skills to compress complex risk positions for leadership.
• Experience using Claude or other LLMs as daily working tools and reviewing model output critically.
• Low ego, highly collaborative, and committed to AI safety.

Preferred Qualifications

• Experience applying FAIR-CAM or other structured approaches to control effectiveness and attack path modeling.
• Experience building or operating a cyber risk quantification program or tooling.
• Experience defining risk appetite or tolerance thresholds.
• Background in security engineering, detection, threat intelligence, actuarial science, or decision science.
• Familiarity with security risks specific to AI systems (e.g., goal or intent modification).