Security Engineer, Insider Risk

Design, develop, and tune detection rules and automated response mechanisms to identify insider and fraud threats using behavioral analytics, anomaly detection, and rule-based logic. Lead high-efficacy detection signatures across SIEM, EDR, DLP, and payment monitoring platforms; support incident response and digital forensics; and mitigate risks like account misuse, privilege escalation, and social engineering. Collaborate with fraud analysts, KYC operations, compliance, and engineering to improve high-risk workflows and operationalize detection logic.