Threat Analyst III (Remote, ROU)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:
At CrowdStrike we’re on a mission - to stop breaches. Our groundbreaking technology, services
delivery, and intelligence-gathering together with our innovations in machine learning and
behavioural detection, allow our customers to not only defend themselves, but do so in a
future-proof manner. We’ve earned numerous honors and top rankings for our technology,
organization and people – clearly confirming our industry leadership and our special culture
driving it.

The opportunity: Our CrowdStrike Data Science Machine Learning Operations and Response
Team is looking for a Threat Analyst III who is both customer and team-focused. This role will
include both response and pro-active aspects. This role will be perfect for anyone who has
experience involving detections using machine learning. The primary responsibility of this role
will be to analyze breaches and killchains involving malware and detections. This team is
focused on improving detection capability and efficacy of malware detection using machine
learning.

Bring your passion for helping internal partners resolve questions about detections of
potentially malicious activity by machine learning and our detection platform. Our goal for the
team is to both help internal teams respond to customer-inquiries about threat detection and
to provide information about the effects of our detections into the Data Science organization -
including detection efficacy and managing false positive detections.
This role will work most closely with internal teams such as Falcon Complete, Falcon
Overwatch, Data Scientists and the Malware Research Center in Data Science.

What You'll Do:

• Lead efforts to review and refine product detections to ensure they meet and exceed

• company standards

• Identify and drive improvements in false positive detection management through deep

• technical analysis and process enhancements

• Analyze files and event data across different platforms (Linux, public Clouds, Mac, and

• Windows) to assess predictions by machine learning

• Act as a senior escalation point for internal teams regarding complex customer threat

• detections

• Collaborate cross-functionally with threat research, engineering, and incident response

• teams to drive detection efficacy

What You'll Need:

• Technical expertise in Linux or Mac operating systems, including internals and threat

• behaviors

• Experience in public Cloud environments, preferably AWS or Azure

• Strong background in reverse engineering malware, reverse engineering tool sets and

• malware operations

• Experience leveraging machine learning for threat detection use case

• Solid proficiency in Python, with additional experience in other scripting/programming

• languages a plus

• In-depth understanding of binary analysis, including file attributes, imports/exports, and

• common packing techniques

• Advanced analytical skills, including practical experience with threat research and

• structured analysis methodologies

• Strong grasp of threat/risk assessment and threat management f