Senior Analyst - Insider Threat; Remote

Description

Connecting People. Uniting the World. There’s never been a more exciting time to join United Airlines! As a global company that operates in hundreds of locations around the world — with millions of customers and tens of thousands of employees — we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly.

We’re on a path to becoming the best airline in aviation history. Join our Cybersecurity and Digital Risk (CDR) team to help lead the industry in cyber safety, security and resilience. United's CDR team plays a critical role in protecting our operations by enabling secure and resilient systems, managing threats and vulnerabilities, and ensuring swift response and recovery. Our mission is to seamlessly embed cybersecurity and digital risk management into every aspect of our business.

We help drive progress and growth through trusted digital solutions, safeguarding assets and empowering our team, all while promoting a cyber-safe and secure environment that supports resilient airline operations.

United offers a competitive benefits package aimed at keeping you happy, healthy, and well-traveled. From employee-run "Business Resource Group" communities to world-class benefits like parental leave, 401(k), and privileges like space-available travel, United is truly a one-of-a-kind place to work. Are you ready to travel the world and help us keep our airline cyber safe? Apply today!

Job overview and responsibilities

The Senior Analyst, Insider Threat, is responsible for advancing detection capabilities and improving the quality and effectiveness of insider threat monitoring. This role focuses on designing, tuning, and operationalizing detection logic to increase alert fidelity and drive measurable improvements in actionable insider threat alerts. The position partners closely with Cybersecurity, Data Protection, HR, and Legal to ensure detections align to risk priorities and business context.

This role plays a critical part in evolving the Insider Threat Program from reactive alerting to scalable, intelligence-driven detection.

• Detection Engineering & Alert Fidelity Optimization:
  Design, build, and continuously refine insider threat detection logic, use cases, and analytics to improve signal quality. Focus on reducing false positives and increasing the percentage of actionable insider threat alerts.
• Alert Triage, Investigation, & Feedback Loop:
  Lead triage and investigation of insider threat alerts, applying structured methodologies to assess risk Translate investigation outcomes into detection improvements, ensuring a continuous feedback loop between operations and engineering.
• Detection Strategy & Use Case Development:
  Develop and implement a scalable detection strategy aligned to key insider threat risks (i.e., data exfiltration, employee exit risk, misuse). Identify gaps and prioritize new detection use cases to expand coverage and effectiveness
• Threat Hunting & Advanced Analytics:
  Conduct proactive threat hunting using behavioral, endpoint, and data activity signals to identify emerging insider risks. Translate findings into new detection use cases and improvements to existing detection logic.
• Cross-Functional Partnership:
  Partner with Data Protection, Legal, HR, and Cyber teams to ensure detections are risk-aligned, context-aware, and operationally actionable. Incorporate business context and investigation requirements into detection design to improve alert fidelity and response effectiveness.

• Bachelor's degree required (Cybersecurity, Information Technology, Computer Science majors preferred)
• 3+ years in STEM-related field
• Strong experience with insider threat detection methodologies, behavioral analytics, and risk indicators
• Proven ability to design, tune, and operationalize detection logic to improve alert quality and reduce noise
• Experience working with DLP, UEBA, or related telemetry to identify and investigate insider risk activity
• Analytical mindset with ability to translate investigation outcomes into detection improvements
• Understanding of data classification, data movement…