Senior Cyber Threat Hunter

☞ UBS

View: 109

Update day: 10-04-2024

Location: Zürich Zürich ZH

Category: IT - Hardware / Networking Information Technology

Industry:

Job type: 100%, CDI, Temps de travail : 90-100%

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Job content

Critères de l’offre

Description du poste

Do you have an investigator’s mindset, and intuitively know how to uncover malicious activity? Do you have a deep understanding of computer operating systems and the realities of enterprise IT estates? Do you like data?

This role is responsible for analyzing and correlating large data sets to uncover novel threats and attach techniques that may be present within UBS’s environment.

We are looking for a Threat Hunter who:
  • can query, process and manipulate data in a variety of platforms and formats
  • is able to rapidly understand and leverage new technologies
  • has incident response experience and understands how EDR tools work behind the user interface
  • can interpret structured and unstructured intelligence to determine what is critical for meeting your detection objectives
  • has detailed contemporary knowledge of attacker techniques and understands how to identify them in the real world
  • has initiative and creative thinking to achieve solutions to complex problems
  • able to assist incident response teams with major incidents as required
Description du profil

  • bachelor’s degree, preferably within an Information Security related discipline, or equivalent experience
  • 6+ years’ experience with Threat Hunting or Incident Response, which enables you to recognize malicious activity within a sea of noise
  • deep knowledge of digital forensics, computer operating systems and enterprise network infrastructure, including experience with Cloud environments, preferably Azure
  • strong knowledge of malware and exploit is desired
  • experience with offensive security tools and attack techniques
  • competence with one or more programming/query languages - experience with Python, PowerShell and SQL is preferred
  • experience working with large data set and tools/technologies such as Spark, PySpark, Pandas, Hadoop, Cloudera, Databricks, is desired
  • must be a team player and ability to mentor junior colleagues
#LI-FZ1
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Deadline: 25-05-2024

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