The opportunity
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.
What you'll do
Enable leadership and partner teams to make risk-informed decisions. Take: ambiguous risk questions, drive them to a documented decision, and communicate the 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 and presenting results in terms leadership can act on
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, and pressure test those decisions with risk owners
Shape the analysis and narrative behind leadership risk reviews, and help: define risk appetite and the risk metrics the organization should measure and why
Use AI and automation to scale risk analysis, and own the calibration and: quality review that keep the outputs trustworthy
What they're looking for
- Turn one-off analyses into reusable methods, templates, and training so risk: analysis becomes increasingly self service for partner teams, and raise the analytical quality of the risk register
- Have owned security or technology risk analysis end to end, qualitative and: quantitative, and can point to a decision your output changed, whether a funding call, a launch call, a remediation sequence, or a documented acceptance
- Have hands-on FAIR-style quantification experience, including scenario: decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling, briefed to decision makers
- Thrive in ambiguity. You frame a moving question into something analyzable,: pick the depth that fits, and drive to a decision rather than a report
