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.

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 analytical models, and translate ambiguous patterns into structured, data-driven insight. Your work will support detection, mitigation, strategic risk prioritization, and planning across the company.

This role is based in the office on a hybrid schedule of three days per week.

Responsibilities

• Discover and define new quantitative risk signals where no established metrics exist.
• 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 and assess the underlying drivers and causal factors behind changes.
• 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 and safety, security analysis, or risk-focused research.
• Comfort 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.
• Understanding of how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and diagnose likely causes.
• Experience operationalizing adversarial or strategic risk behaviors through 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 salary of $198,000–$320,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and sick or safe time.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and eligible meal delivery credits.
• Relocation support for eligible employees.

OpenAI is an equal opportunity employer. Background checks and reasonable accommodations are handled in accordance with applicable law.