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CrowdStrike

Threat Analyst II, AI/ML Operations (Remote, IRE)

Reposted 2 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Ireland
Mid level
Remote or Hybrid
Hiring Remotely in Ireland
Mid level
As a Threat Analyst II, you will analyze adversary intrusions, create ML-based security detections, and address customer requests regarding detection efficacy, focusing on proactive and reactive detection engineering.
The summary above was generated by AI

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 behavioral-based 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 who is both customer- and team-focused. This role will include both proactive and reactive aspects of detection engineering.

The primary responsibility of this role will be to analyse adversary intrusions and take tactical steps to ensure they don’t happen again, by creating or modifying security detections. Experience with machine learning concepts is a plus.

The secondary responsibility of this role is to address customer requests related to the efficacy and function of our machine learning detection models.

This role will work most closely with internal teams such as OverWatch, Technical Account Managers, Falcon Complete, Data Scientists and Malware Researchers.

What You'll Do:

  • Review current ML-based product detections to ensure they are performing to the company standard

  • Review customer-based reports of false positives and false negatives

  • Review adversary intrusions and create ML-based security detections as needed

  • Analyze binary files to determine their legitimacy

What You'll Need:

  • Exposure and understanding of different types and functionality of malware

  • Experience with reverse engineering malware, detection engineering, or threat hunting

  • Knowledge of programming and scripting languages, in particular Python

  • Fundamental understanding of attributes of binary files such as imports/exports and packers

  • Ability to demonstrate practical knowledge of research/collection skills and analytical methods

  • A creative approach to problem solving and closing detection gaps

  • An excellent understanding of at least one major operating system type,or a public cloud provider

  • Ability to break down complex problems into workable components

Bonus Points:

  • Experience in a security operations center, incident response, blue teaming, or similar

  • A thorough understanding of Windows OS internals and the Windows API

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

  • A background in exploit and vulnerability analysis, or read teaming

  • Knowledge of a variety of programming languages including C, C++, Java, and assembly

  • Intimate knowledge of public cloud infrastructure

  • Experience with machine learning, data science, or data science concepts

  • Familiarity with CrowdStrike product and services

Education:

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

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Benefits of Working at CrowdStrike:

  • Market leader in compensation and equity awards

  • Comprehensive physical and mental wellness programs

  • Competitive vacation and holidays for recharge

  • Paid parental and adoption leaves

  • Professional development opportunities for all employees regardless of level or role

  • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections

  • Vibrant office culture with world class amenities

  • Great Place to Work Certified™ across the globe

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

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