Jersey City, NJ30+ days ago
This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and non human identities. The role partners closely with Cyber, HR, Legal, Compliance, Anti Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny.