Cybersecurity Data Analyst

The Data Operations and Intel Division in IMDA is the cybersecurity arm that process and analyse data to discover trends and precursors to potential incidents that can impact the resilience and cybersecurity posture of the infocomm and media sectors.

Early detection of cyberthreats and prompt sharing of intel for intervention actions is crucial for mitigating or reducing potential damages. You will be part of the cyber operations function of the division to analyse and discover potential cybersecurity threats through the application of data analytics and threat hunting techniques on big data. You will work closely with cybersecurity counterparts to proactively cue intervention actions on the potential cyber threats identified.

Job Responsibilities

The successful candidate shall be responsible, among others, to:

• Analyse, correlate, interpret and visualise data to uncover trends and patterns.
• Formulate and test threat hunting hypothesis.
• Produce insights and supporting evidence to support decision making.
• Compile and share intel with counterparts for prompt intervention actions.
• Translate concepts and results into reports and presentation for senior stakeholders
  
  
  

Job Requirements

• Degree in Computer Science / Computer Engineering / Mathematics / Statistics / Data Science and Analytics or equivalent.
• Knowledge of cybersecurity concepts and applications. Candidates with relevant cybersecurity certifications are preferred.
• At least 5 year of experience in data transformation, interpretation, and quantitative data analysis.
• Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with their application is preferred.
• Experience in using databases and frameworks for big data analytics such as Hadoop / Hive / Spark, and able to write complex SQL queries.
• Domain knowledge and experience in Computer Networking, Network Security, or System Security is preferred.
• Good writing, communication and presentation skills.
• Fast learner with self-motivation and independence to acquire knowledge on new domains or technologies quickly.
  
  
  

This position will commensurate with experience.

Only shortlisted applicants will be notified.