Quantitative Intelligence Analyst

OpenAI, Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• 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 deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals.
• You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight.
• Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream.
• You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold.
• Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products.
• Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface 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 the underlying drivers and causal factors behind those 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
• Have 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research
• Are 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
• Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes
• Experience in operationalizing adversarial or strategic risk behaviors, including 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

🎯 Requirements

• 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research
• Familiarity with data mining, statistical modeling, and supervised learning methods
• Experience in operationalizing adversarial or strategic risk behaviors
• Comfortable working with Python and SQL

🏖️ Benefits

• Relocation support available
• Hybrid work arrangement (3 days/week in office)
• Opportunity to work with a cutting-edge AI research and deployment company
• Chance to contribute to the development of AI that benefits humanity

Skills & Technologies

Python

Hybrid

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OpenAI, Inc.

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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