Quantitative Intelligence Analyst
Quantitative Intelligence Analyst discovering novel risks in human-AI systems using quantitative models, data mining, and statistical analysis to develop early-warning signals for trust and safety threats. Requires 3+ years in quantitative intelligence, risk research or trust & safety, plus Python/SQL skills.
About the job
Responsibilities
- 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.
Requirements
- 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research.
- 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-Haves
- Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk.
Skills
Python, SQL, Data Mining, Statistical Modeling, Supervised Learning, Red Teaming, Agent-Based Modeling, Monte Carlo Simulations
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