Sr. Insider Threat Analyst
Quick Summary
4+ years of overall experience in Cybersecurity, Security Operations (SOC), Incident Response, IT Audit, or Data Protection.
As a Senior Insider Threat Analyst, you will play a pivotal role in safeguarding our intellectual property, financial assets, employee data, and customer data from internal risks. Reporting directly to the Director of Global Insider Threat, you will lead complex insider threat related analysis, help develop advanced detection use cases, and mature our User and Entity Behavior Analytics (UEBA) capabilities. You will serve as a subject matter expert in Data Loss Prevention (DLP) and insider fraud, acting as a critical bridge between Information Security, Legal, HR, and Compliance teams.
Responsibilities
~1 min read- →Advanced Alert Triage & Analysis: Monitor, analyze, and enrich alerts from various security tools to identify anomalous user behavior indicative of data exfiltration, access abuse, or other insider misconduct.
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Requirements
~1 min read- Experience: 4+ years of overall experience in Cybersecurity, Security Operations (SOC), Incident Response, IT Audit, or Data Protection.
- Insider Risk / DLP Exposure: At least 1-2 years of experience specifically analyzing alerts related to Data Loss Prevention (DLP), User Behavior Analytics (UEBA), or insider threat events. (Note: Candidates with strong general security analytics backgrounds demonstrating a clear aptitude for behavioral analysis will be strongly considered).
- Technical Acumen: Strong understanding of network architecture, operating systems (Windows, macOS), identity management, and cloud platforms, with the ability to quickly pivot through logs to build a timeline of user activity.
- Analytical Mindset: Exceptional critical thinking skills with the ability to look beyond a single alert to understand the broader context of user behavior.
- Discretion: High degree of integrity and the ability to handle highly sensitive, confidential employee data with strict discretion.
Requirements
~1 min read- AI & Automation Skills: Experience leveraging Artificial Intelligence (AI) and Machine Learning models for anomaly detection, or proficiency in scripting (e.g., Python, PowerShell) to automate analytic workflows.
- Fraud Analysis Experience: Prior exposure to analyzing technical indicators of corporate fraud, unauthorized data access, or corporate espionage.
- Local Privacy Knowledge: Familiarity with South Korea's Personal Information Protection Act (PIPA) and its implications for employee monitoring and data security analysis.
- Education: Bachelor’s degree in Cybersecurity, Computer Science, or a related technical field (or equivalent practical experience).
Location & Eligibility
Listing Details
- Posted
- April 15, 2026
- First seen
- April 15, 2026
- Last seen
- May 4, 2026
Posting Health
- Days active
- 20
- Repost count
- 0
- Trust Level
- 36%
- Scored at
- May 5, 2026
Signal breakdown
Coupang is a U.S. retail company known for its fast delivery services and commitment to customer satisfaction.
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