Information Security
G-Research
London, United Kingdom
14d ago

Imagine being given the remit to secure the data, not pass an audit.

G-Research is a leading quantitative research and technology company. By using the latest scientific techniques, we produce world-

beating predictive research and build advanced technology to analyse the world’s data.

Keeping our ideas safe and secure is crucial to our success. That’s why we use pioneering techniques that predict and protect us from attacks.

Together, we’re building the next generation of security approaches and thinking.

The Role

The Security Data Engineering team works closely with our SOC and Security Data Science teams to ensure that we are able to gather, process and alert on security relevant data and then undertake effective investigative and response activities to minimise the risk to the organisation.

As a data engineer you will be responsible for the data pipeline of security events, productising research ideas, as well as extending investigative capabilities of the team.

Our monitoring and collection platform is based on open source Hadoop technology, and designed to support a move to an anomaly driven approach to monitoring.

Who are we looking for?

The ideal candidate will at minimum have experience in the following areas :

  • Good understanding of data structures and algorithm analysis
  • Experience in a project using Python, JAVA, C, C++ (Github, or university project) with demonstrable knowledge
  • Understanding of SQL and NoSQL technologies
  • Strong understanding of operating systems and networks
  • The following would be advantageous but not necessary :

  • Knowledge with any of the following (HDFS, Kafka, Spark, HBase, Hive, NiFi)
  • Functional programming
  • Understanding of containers (docker)
  • Why should you apply?

  • Highly competitive compensation plus annual discretionary bonus
  • Informal dress code and excellent work / life balance
  • Comprehensive healthcare and life assurance
  • 25 days holiday
  • Contributory pension scheme
  • Cycle-to-work scheme
  • Subsidised gym membership
  • Monthly company events
  • Apply
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