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Malware Researcher (Cybersecurity)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Malware Researcher (Cybersecurity): Investigating emerging malware, attacker tactics, and complex datasets to produce threat intelligence and improve detection capabilities with an accent on malware analysis, reverse engineering, and data-driven research. Focus on hunting emerging threats, developing threat detections, analyzing security data, and presenting findings to technical and industry audiences.

Location: Hybrid working model with at least 2 days per week in either the Cambridge or London office, United Kingdom

Company

hirify.global develops AI-driven cybersecurity solutions that detect and respond to novel, real-time cyber threats.

What you will do

  • Analyze cyber threats, malware, and adversary tactics, techniques, and procedures.
  • Hunt proactively for emerging threats and identify new attack trends.
  • Produce threat intelligence reports, research publications, blogs, and conference presentations.
  • Develop data-driven methodologies, visualizations, and analytical approaches for investigations and intelligence production.
  • Develop and refine threat detections based on research findings.
  • Collaborate with security researchers, analysts, and product teams to strengthen threat intelligence capabilities.

Requirements

  • Background in cybersecurity, computer science, data science, or a related field.
  • Experience with malware analysis and reverse engineering.
  • Understanding of operating systems, networking, system internals, security fundamentals, modern cyber threats, and attacker methodologies.
  • Programming or scripting experience with Python, PowerShell, or C/C++.
  • Experience analyzing structured and unstructured datasets to generate actionable insights.
  • Familiarity with threat intelligence, digital forensics, or reverse engineering techniques.

Nice to have

  • Experience applying data science techniques to cybersecurity challenges.
  • Background in threat intelligence, detection engineering, or security analytics.
  • Knowledge of query languages and security tooling.
  • Research publications, blog writing, conference presentations, or open-source contributions.

Culture & Benefits

  • 23 days of annual leave plus public holidays, increasing to 25 days after 2 years.
  • Additional birthday day off.
  • Private medical insurance covering the employee, cohabiting partner, and children.
  • Life insurance equal to four times base salary and a salary sacrifice pension scheme.
  • Enhanced family leave, confidential employee assistance, and cycle-to-work scheme.
  • Culture focused on ownership, collaboration, high standards, urgency, learning, and accountability.

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