Quantitative Intelligence Analyst

OpenAI; United States; On-site; USD 198,000 - 320,000; Full time

Benefits offered by this job

Relocation support

Daily meals in offices

Annual learning & development stipend

Paid parental leave

Paid time off & holidays

Wellness & mental health programs

Job summary

OpenAI is seeking a Quantitative Intelligence Analyst to rapidly identify emerging risks in complex human–AI systems. You will use quantitative tooling to surface weak signals, build models, and translate risks into measurable indicators for detection and mitigation.

This hybrid role includes relocation support and a path to impact safety decisions at scale. You will leverage Python and SQL to mine data, develop stress tests, and inform strategic risk products across teams.

Qualifications

• 3+ years of experience in quantitative intelligence analysis or risk-focused research.
• Experience with data mining, statistical modeling, and supervised learning.
• Ability to translate trust and safety challenges into measurable signals.
• Experience in monitoring signals for data drift and performance degradation.

Responsibilities

• Discover and define new quantitative risk signals where metrics do not yet exist.
• Translate complex trust challenges into measurable signals for tracking.
• Develop upstream signal frameworks to inform detection and mitigation.
• Analyze risk trends and identify drivers behind changes.
• Conduct data mining and modeling to understand risk evolution across systems.
• Design adversarial scenarios and stress tests to evaluate exposure and gaps.
• Produce clear, data-driven briefs to support risk prioritization.

Skills

Quantitative analysis

Risk analysis

Trust & safety

Data mining

Statistical modeling

Supervised learning

Tools

Python

SQL

Agent-based modeling

Monte Carlo simulations

Red team exercises

Job description

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 Aff… Statement.

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.

To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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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.

Compensation

$198K – $320K - Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job‑related knowledge, skills, and experience. If the role is non‑exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance‑related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts.

• Pre‑tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit).

• 401(k) retirement plan with employer match.

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non‑birthing parents), plus paid medical and caregiver leave (up to 8 weeks).

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non‑exempt employees.

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law).

• Mental health and wellness support.

• Employer‑paid basic life and disability coverage.

• Annual learning and development stipend to fuel your professional growth.

• Daily meals in our offices, and meal delivery credits as eligible.

• Relocation support for eligible employees.

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at‑will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.