Threat Analyst

As a global leader in cybersecurity, [Hiring Company] protects the people, processes, and technologies that power modern organizations. Since 2011, our mission has remained clear: stop breaches. We deliver industry-leading AI-native cybersecurity solutions, helping customers across all industries defend their businesses, protect communities, and secure their operations. Our culture emphasizes autonomy, flexibility, and career ownership, creating a space where passionate, innovative professionals thrive.

About the Role
The Threat Analyst will join our Data Science, Machine Learning Operations, and Response Team, focusing on both proactive and reactive threat detection. This role is ideal for candidates with experience in malware analysis, reverse engineering, or detection investigations. You will work closely with internal teams—including Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center—to improve detection efficacy and help manage false positives.

Key Responsibilities

• Analyze malware and detection tickets to assess customer impact.

• Review and validate current product detections for accuracy and efficacy.

• Investigate binary files to determine legitimacy and potential threats.

• Address internal questions regarding threat detection and provide actionable insights.

• Contribute to reducing false positive detections and improving detection workflows.

• Collaborate with Data Science to inform model effectiveness and detection performance.

Required Skills & Qualifications

• Understanding of malware types, functionality, and operations.

• Experience with reverse engineering malware or similar threat investigations.

• Proficiency in programming/scripting, particularly Python.

• Knowledge of binary file attributes such as imports, exports, and packers.

• Familiarity with MacOS and/or Linux operating systems.

• Strong analytical, research, and problem-solving skills.

• General understanding of threat/risk assessment and management.

Bonus Qualifications

• Experience in a Security Operations Center (SOC) or incident response environment.

• Deep understanding of Windows OS internals and Windows API.

• Familiarity with targeted or criminal cyber-intrusion tools.

• Background in exploit and vulnerability analysis.

• Knowledge of multiple programming languages, including C, C++, Java, and Assembly.

• Experience with threat detection models leveraging machine learning.

Education

• BA/BS or equivalent in Computer Science, Cybersecurity, or related field.

Why Join Us?

• Be part of a mission-driven organization stopping cyber breaches worldwide.

• Collaborate with world-class data scientists, malware researchers, and cybersecurity experts.

• Contribute directly to improving AI-driven threat detection and customer protection.

• Enjoy a flexible, autonomous, and supportive remote work environment.