Anthropic

Anthropic

Security Risk Analyst, Risk Engineering

San Francisco, CA | New York City, NY

H1B sponsorship available$270k-$345kDetected 11 days ago
PythonNLPLLMsCybersecurityLogisticsCAM5G/LTEResearchLeadershipCommunicationPublic SpeakingActuarial Science

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$99,8821 entry
Level II$127,3582 entries
Level III$154,8563 entries
Level IV$182,3334 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Financial Risk Specialists (13-2054) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • 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.

Responsibilities

  • 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
  • Use AI and automation to scale risk analysis, and own the calibration and quality review that keep the outputs trustworthy
  • 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
  • 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
  • We think AI systems like the ones we're building have enormous social and ethical implications.

Requirements

  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
  • Years of experience required will correlate with the internal job level requirements for the position

Skills

  • Use Claude or other LLMs as daily working tools and review model output critically

Compensation

  • $270,000 - $345,000 USD

Company info

  • We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
  • At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
  • The conventional GRC playbook was not built for a company shipping frontier AI.

Visa & Work Authorization

  • We do sponsor visas!
  • However, we aren't able to successfully sponsor visas for every role and every candidate.
  • But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.