Senior IT Security Data Analyst

Job description

Machine learning, robotics, cloud computing. We’re harnessing the power of technology to reinvent the future of banking. A digital revolution is underway – joining us puts you at the heart of it. 

 
Working with skilled, international teams in a fast-paced and inspiring working environment, you’ll play a part in making us truly digital. 
 
More than just a bank, we’re one of the largest IT employers in Tricity and Warsaw. You’ll have lots of opportunities to expand your abilities and advance your career. Will you help us lead the way in transforming the future of banking? 
 

You future responsibilities:

You’ll join Cyber Threat Management that is  3rd level expertise unit of the Cyber Defence Centre. The unit has 3 tracks; Investigations, Intelligence and Data Analysis and you would be a part of the latter one.  It is a trusted and highly capable entity supporting us holistically and collaborating externally in fighting cyber threats. 
 
What you’ll be doing: 

  • Your role will be to drive, develop, implement and maintain use cases   
  • Detecting and acting upon Cyber Security and Compliance risks.  
  • Analyzing and working with security data in order to prevent cyber threats  
  • You will be part of Data Analysis within the unit but also contribute to and support the Intelligence and Investigations areas.    

The role is based in Gdynia.  Welcome to a team located in Poland as well as spread across the Nordics and consists of highly technical and broadly experienced professionals within IT security.

Requirements

Your profile and background: 

  • Strong technical knowledge and practical abilities in working with operating systems, networks, databases etc.  
  • Hands-on experience in working with SIEM solutions; data onboarding, parsing, correlation and rules creation 
  • Solid problem solving and analytical skills 
  • Keen interest in technology and cyber security in order to see the wider context of things. 
  • Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets 
  • Coding experience, e.g. SQL, Python, Java, Bash 
  • Experience in and understanding of big data technologies and frameworks is an asset 
  • Fluent English (spoken and written).


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