Security Analyst, Insider Risk

s part of the Threat and Incident Management team, you will support TikTok's inside threat operation. You will utilize analytical methods to understand insider risk patterns and establish models for forecasting insider risk scenarios. The candidate will also collaborate with stakeholders from data engineers to executives, prioritizing data sources for onboarding into risk models and gathering requirements for dashboards to provide a holistic view on operations.

Responsibilities

• Analyze large and complex datasets to identify potential threats and develop detection logic to mitigate risks.
• Triage, investigate, and escalate security incidents from various sources including SIEM, DLP, UEBA, and endpoint tools.
• Respond to security incidents in real-time and participate in root cause analysis, escalation, and incident recovery efforts.
• Coordinate with system owners, data teams, and business units to enhance detection logic, data, reduce false positives, and refine workflows.
• Create and maintain dashboards to support threat hunting, investigations, and operational reporting.
• Communicate findings, risk posture, and recommended remediation steps clearly to both technical and non-technical stakeholders.
• Partner with cross-functional teams to identify process improvements and implement scalable security solutions.
• Contribute to continuous improvement efforts in detection coverage, response readiness, and insider threat frameworks.

Qualifications

Minimum Qualifications

• Previous experience working on an InfoSec/CorpSec team on incident response and detection engineering
• Excellent analytical, critical thinking, and problem-solving skills with a high attention to detail.
• Familiarity with technologies such as SIEM, DLP, UEBA, and UAM tools.
• Ability to assess and prioritize risks in real-time in a dynamic environment.
• Passionate about staying ahead of emerging threats and continuously improving security posture.

Preferred Qualifications

• Bachelor's degree in Cybersecurity, Engineering, Information Systems, or a related discipline, or equivalent experience in military, government, or commercial environments.
• 3+ years of hands-on experience in cybersecurity with a focus on insider risk, incident response, trust and safety, fraud, or counterintelligence.
• Exposure to artificial intelligence (AI) and machine learning (ML) techniques to enhance threat detection and workflow automation.
• Strong understanding of threat intelligence platforms, TTPs, and threat modeling.
• Excellent verbal and written communication skills; ability to distill complex findings into actionable insights.
• Strong interpersonal skills and ability to work effectively across global, cross-functional teams.
• Demonstrated ability to manage competing priorities, operate independently, and deliver results under pressure.