Quantitative Intelligence Analyst

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.