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Role Summary: The GE Digital Threat Management team is looking for an experienced Security Analytics Engineer to work on a number of exciting cloud based security platforms to protect GE’s businesses. This role involves applying contemporary threat detection use cases to large datasets to advance GE’s security capabilities.
A successful candidate will collaborate with mission-based, expert teams to build innovative security analytics solutions that enable continuous adaption to modern cyber-security threats.
Design, Prototype, Test and Implement Analytics using mathematics, statistics and machine learning to address critical threat detection use cases utilizing cloud-based technologies and tools
Apply data-driven methodology to existing gaps in threat detection to deliver solutions that enhance threat coverage and reduce risk in GE’s networked environments
Perform variety of in-depth analysis, data modeling, and data design tasks on complicated datasets with potentially complex data integration scenarios
Leverage strong engineering & analytics background to apply new visualization and modeling techniques to data
Engage security experts and software development teams across the business and incorporate knowledge capture into new analytics solutions
Demonstrate ability to collaborate on large scale development projects in a fast-paced and agile environment using the latest software development techniques, infrastructure, engineering practices
Work effectively with geographically dispersed teams, at times leveraging asynchronous communication methods
Creates shared awareness of relationships and correlation opportunities across multiple data sources and logging systems to enable data enrichment within security analytics platforms
Mentor and guide other engineers in various analytic methods to increase expertise across the team
Degree in Computer Science or a related technical degree, or strong IT experience
Strong experience coding in data management, data warehousing or unstructured data environments
Hands on experience working with AWS native services (Kenisis, Lambda, RDS)
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