Quantitative Threat Forecasting Analyst

As a Quantitative Threat Forecasting Analyst, you will design and deploy probabilistic and Bayesian models to forecast threat emergence, detect anomalies, and quantify risk, often when signal is weak and timelines are short. You will build classical and deep-learning forecasts, develop real-time anomaly-detection pipelines, apply survival analysis and rare-event methods, and run stress tests and Monte Carlo simulations to evaluate threat likelihood and impact. Furthermore, you will collaborate across disciplines—investigations, engineering, policy—to embed statistical rigor into threat prioritization, guardrails, and product decisions, communicating insights through briefs, dashboards, and visualizations to drive executive action, and own production pipelines to support these efforts.