Quantitative Intelligence Analyst

OpenAI
San Francisco
Workplace: HybridFull timeUSD 198,000 - 320,000 annuallyFunction: Capital Markets, Trading & QuantExperience: 3+ yearsSkills: ["Analytical thinking","Data-driven decision-making","Risk analysis","Communication","Problem-solving"]

Use quantitative analysis to discover early, weak, and unconventional risk signals in complex human–AI systems. Build analytic models and upstream early-warning frameworks that translate trust & safety challenges into measurable signals for detection, mitigation, and planning. Mine data, run statistical modeling and adversarial stress tests, analyze causal drivers behind risk trends, and share clear, data-driven briefs that inform strategic risk prioritization and product decisions.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
OpenAI
OpenAI
2 months ago

Quantitative Intelligence Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Use quantitative analysis to discover early, weak, and unconventional risk signals in complex human–AI systems. Build analytic models and upstream early-warning frameworks that translate trust & safety challenges into measurable signals for detection, mitigation, and planning. Mine data, run statistical modeling and adversarial stress tests, analyze causal drivers behind risk trends, and share clear, data-driven briefs that inform strategic risk prioritization and product decisions.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Discover and define new quantitative risk signals where no established metrics exist
  • •Translate trust and safety challenges into measurable, trackable signals for stress-testing
  • •Develop early-warning and signal frameworks to inform downstream detection and mitigation
  • •Analyze risk trends to identify underlying drivers and causal factors
  • •Conduct data mining and statistical modeling, including adversarial scenarios and quantitative stress tests, then produce data-driven briefs for strategic risk planning

Pay and Benefits

Salary: USD 198,000 - 320,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research
  • •Comfort with complex trust and safety domains such as child safety, violent activities, and self-harm
  • •Familiarity with data mining, statistical modeling, and supervised learning methods
  • •Experience monitoring signals or models for data drift, behavioral adaptation, or performance degradation
  • •Comfortable working with Python and SQL
Experience:3+ yearsTrust & safetySecurity analysisRisk research
Skills:Analytical thinkingData-driven decision-makingRisk analysisCommunicationProblem-solving
Tech Stack:PythonSQLData miningStatistical modelingSupervised learningAdversarial scenariosStress testingAgent-based modelingRed-team exercisesMonte Carlo simulations

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor