量化情报分析师
Quantitative Intelligence Analyst
关于团队
Intelligence and Investigations 团队致力于快速识别和缓解对在线生态系统的滥用和战略风险。我们致力于发现新兴的滥用趋势，分析风险，并与内部和外部合作伙伴合作，实施有效的缓解策略，以防止滥用。我们的工作有助于实现 OpenAI 的总体目标，即开发有益于人类的 AI。
战略情报与分析（SIA）团队通过监控、分析和预测现实世界的滥用行为、地缘政治风险和战略威胁，为 OpenAI 的产品提供安全情报。我们的工作为安全缓解措施、产品决策和合作伙伴关系提供依据，确保 OpenAI 的工具在关键领域安全且负责任地部署。
关于职位
作为量化情报分析师，你将专注于在这些复杂的人机系统中发现新颖且新兴的风险，这些风险尚未被明确、可衡量或广泛理解。
你将利用深入的专业知识和量化工具，揭示微弱、早期和非常规的风险信号。你将构建分析模型，解释危害可能如何出现，并将模糊的模式转化为结构化、数据驱动的洞察。你的工作将帮助识别政策或覆盖范围中的潜在漏洞，并将此前无法测量的问题转化为可以支持检测、缓解和后续规划的信号。你将开发分析框架，映射新风险如何形成、演变和传播，随着产品变化、政策调整和外部事件的发生。你的分析将直接为公司内部的战略风险优先级和规划提供依据，并通过战略风险产品获得定期可见性。
该职位位于办公室（混合办公，每周3天）。提供搬迁支持
在该职位中，你将：
- 在没有既定指标的情况下，发现并定义新的量化风险信号，利用专业知识揭示早期、微弱或非常规的指标
- 将复杂的信任与安全挑战转化为可追踪和可压力测试的可衡量信号
- 开发上游的早期预警和信号框架，以指导下游的检测和缓解工作
- 分析风险趋势，评估这些变化背后的基本驱动因素和因果因素
- 进行数据挖掘和统计建模，以了解风险的起源、演变和传播方式
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About the Team
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
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. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.
About the Role
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.
This role is based in office (hybrid, 3 days/week). Relocation support is available
In this role, you will:
- 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
You might thrive in this role if you:
- 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
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.