Fraud & Risk Analyst
About The Position
We’re hiring a Fraud & Risk Analyst to help safeguard OpenAI by investigating, validating, and monitoring customer accounts and organizations. You will focus on identity, legitimacy, and risk, ensuring accounts are properly verified, access is appropriate, and emerging threats are detected early. You’ll handle sensitive and high-stakes investigations involving fraud, impersonation, sanctions, misuse of access, and coordinated abuse. Your work will directly influence who can use OpenAI’s products and how safely we can scale. Note: This role may involve reviewing sensitive, confidential, or disturbing content. We use a hybrid work model of 3 days in the office per week in our San Francisco office.
Requirements
- Have 5+ years of experience in verifications, fraud, trust & safety, or risk investigations
- Are comfortable making high-impact decisions about who should — or should not — have platform access
- Have experience working cross-functionally with Legal, Product, Sales, and Operations
- Enjoy building systems, not just running them — especially in fast-moving environments
- Are calm under pressure, detail-oriented, and trusted with sensitive and ambiguous cases
- Thrive in environments that require judgment, speed, and accountability
Responsibilities
- Review and verify customer identities, organizations, and ownership structures
- Investigate suspicious or high-risk accounts (e.g., fraud, impersonation, shell companies, abuse of API or ChatGPT access)
- Evaluate documents, internal data, and third-party sources to determine legitimacy and risk
- Enforce account-level actions such as approvals, restrictions, suspensions, or escalations
- Serve as the case owner for complex, high-visibility verification and integrity cases
- Partner with Legal, Compliance, Sales, and Support to resolve issues quickly and accurately
- Handle escalations, appeals, and sensitive customer communications
- Help design and improve verification workflows, fraud detection, and risk-scoring systems
- Contribute to automation, tooling, and human-in-the-loop review pipelines
- Identify patterns of abuse and recommend new controls or safeguards
- Analyze data to uncover fraud and abuse trends
- Provide feedback to Product and Engineering to improve onboarding, verification, and access controls
- Create clear playbooks and guidance for frontline teams handling high-risk accounts
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
