Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 5
Python @ 3
SQL @ 3
Prioritization @ 3
Stress Testing @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. The team informs safety mitigations, product decisions, and partnerships to ensure tools are deployed securely and responsibly.
As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood. You will use subject-matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals; build analytic models that explain how harms could emerge; and translate ambiguous patterns into structured, data-driven insight. Your work will inform strategic risk prioritization and planning across the company.
This role is based in office (hybrid, 3 days/week). Relocation support is available.
Responsibilities
- Discover and define new quantitative risk signals where no established metrics exist, surfacing early, weak, or unconventional indicators
- Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time
- Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts
- Analyze risk trends to assess underlying drivers and causal factors
- Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems
- Design adversarial scenarios and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities
- Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams
Requirements
- 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research
- Comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas
- Familiarity with data mining, statistical modeling, and supervised learning methods
- Experience monitoring signals or models for data drift, behavioral adaptation, or performance degradation, and diagnosing likely causes
- Experience operationalizing adversarial or strategic risk behaviors (including red-team exercises, agent-based modeling, or structured scenario analyses)
- Comfortable working with Python and SQL
- Nice to have: experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts
- Pre-tax Health FSA, Dependent Care FSA, and commuter expense accounts
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents) and paid medical/caregiver leave
- Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays and additional paid office closures, plus paid sick or safe time as required by law
- Mental health and wellness support; employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits as eligible
- Relocation support for eligible employees
Additional Information
- Team: Intelligence & Investigations (Strategic Intelligence & Analysis)
- Workplace: Hybrid (in-office ~3 days/week) in San Francisco, United States
- OpenAI is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.