Threat Analyst III (Remote, ROU)

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 frameworks

• Proven ability to break down complex security problems into actionable solutions

• Ability to join off hours/late meetings for cross-region coordination

Bonus Points:

• Experience in a Security Operations Center (SOC), threat hunting, or a high-tempo

• incident response environment

• Expert-level knowledge of MacOS and/or Linux, with experience in threat detection,

• analysis, or EDR tooling on those platforms

• Advanced knowledge of the control plane and data plane of public cloud providers

• Advanced knowledge of Windows OS internals and API behavior

• Familiarity with tools and techniques used in targeted and criminal cyber-intrusions

• Background in exploit development or vulnerability research

• Knowledge of programming languages such as C, C++, Java, and Assembly

• Exposure to working on GenAI and security

Education:

• BA/BS or MA/MS degree in Computer Science, Information Security, or related field

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