Quantitative Intelligence Analyst

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. This role focuses on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood.

This role is based in San Francisco, CA (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

• 3–6+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research.
• Comfortable working on complex trust and safety domains (e.g., child safety, violent activities, self-harm, or similar high-stakes risk areas).
• Familiarity with data mining, statistical modeling, and supervised learning methods.
• Ability to monitor signals or models for data drift, behavioral adaptation, or performance degradation and diagnose 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

• Base pay range: $220,000–$320,000 (offers equity). Total compensation may include equity and performance-related bonuses; base pay may vary by market location, skills, and experience.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
• 401(k) retirement plan with employer match.
• Paid parental leave 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 periodic company office closures.
• 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.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety and diverse perspectives in building and deploying AI systems. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities. Background checks are administered consistent with applicable laws.