Senior Insider Threat Engineer

Get to Know the Team

The Insider Threat Management team is part of Cyber Defense. We protect Grab's people, data, systems, and customers from risks involving trusted users, compromised identities, data misuse, privilege abuse, and latest AI-enabled threats.

We are an evidence-led, engineering-focused team. We combine behavioural analytics, threat hunting, investigations, and security controls to detect meaningful risks early while respecting privacy, due process, and legitimate business activity.

You will work with Security Engineering, Enterprise Security, Identity and Access Management, Endpoint Security, Data Governance, Privacy, Legal, People, and AI teams across Grab.

Get to Know the Role

You will help build and operate Grab's insider threat detection and investigation capabilities across identity, endpoints, cloud services, SaaS applications, enterprise systems, data platforms, and AI environments.

This is a senior, hands-on engineering role. You will turn complex and sometimes ambiguous threat scenarios into measurable signals, scalable detections, investigation workflows, and preventive controls.

You will report to the Lead of Insider Threat Detection. This is an onsite role based in Jakarta.

The Critical Tasks You Will Perform

• You will design, build and improve behavioural detections for data misuse, unusual access, excessive downloads, unauthorised data movement, credential misuse, privilege abuse, and attempts to bypass security controls.
• You will lead complex technical investigations and proactive threat hunts, correlating identity, endpoint, network, cloud, SaaS, application, and data-access telemetry to reconstruct user activity and assess risk.
• You will develop queries, scripts, data pipelines, risk-scoring models, and automation to improve telemetry enrichment, alert quality, case triage, investigation speed, and detection coverage.
• You will partner with Identity and Access Management, Endpoint Security, Data Governance, and Enterprise Security teams to identify and address gaps across DLP, CASB, SIEM, UEBA, EDR/XDR, cloud, and data-protection controls.
• You will develop detection scenarios for Generative AI, large language models, AI agents, and Shadow AI, including sensitive-data exposure, misuse of enterprise AI capabilities, and AI-assisted attempts to evade security controls.