Related skills
sql machine learning threat modeling fraud enforcement📋 Description
- Design and run enforcement workflows for fraud on Anthropic's products.
- Serve as SME on fraud typologies and threat actors.
- Translate expertise into durable, scalable policies.
- Collaborate with threat investigation and enforcement teams.
- Develop guidelines powering classifiers and enforcement signals.
- Stay current on fraud landscape, TTPs and regulatory shifts.
🎯 Requirements
- Experience in Trust & Safety with fraud, scams, or financial crime on tech/AI platforms.
- Writing and managing operational policies for fraud/abuse at scale.
- Threat modeling for fraud ecosystems (social engineering, impersonation, phishing).
- Identify and articulate common fraud tactics on AI platforms (pig butchering, advance fee fraud, account takeover, etc.).
- SQL or data analysis to identify trends and measure enforcement efficacy.
- Cross-functional collaboration with Engineering, ML, Legal, and Policy teams.
- Experience with generative AI products and writing prompts for content review.
- Bachelor’s degree or equivalent experience.
🎁 Benefits
- Location-based hybrid policy requiring 25% in-office time.
- Visa sponsorship available, with limitations.
- We encourage applying even if you do not meet every qualification.
🛃 Visa sponsorship
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