Quantitative Intelligence Analyst
Core
Discovering novel and emerging risks in complex human–AI systems by building analytic models and translating ambiguous patterns into structured, data-driven insights to support detection, mitigation, and strategic planning.
Role type
Quantitative Intelligence Analyst (Risk & Safety)
Builds
Analytic models, early-warning signal frameworks, and data-driven briefs for strategic risk prioritization
Domain
AI Safety, Trust & Safety, Geopolitical Risk, Human-AI Systems
Deliverable
production ML models | dashboards & analysis
Required skills
quantitative intelligence analysis, statistical modeling, data mining, supervised learning, adversarial scenario design, agent-based modeling, Python, SQL
Preferred skills
quantitative stress testing, Monte Carlo simulations, red-team exercises
Technologies
Python, SQL
Responsibilities
Discover and define new quantitative risk signals where no established metrics exist; Translate complex trust and safety challenges into measurable signals; Develop upstream early-warning and signal frameworks; Analyze risk trends to assess underlying drivers and causal factors; Conduct data mining and statistical modeling to understand risk propagation; Design adversarial scenarios and quantitative stress tests; Produce clear data-driven briefs for risk prioritization and contingency planning
Seniority
Mid-level, hands-on IC