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We are looking for a Security Researcher to join our Windows EDR behavioral detection team. You will create statistics-based classification algorithms to detect new malware, process behavior anomalies, and attackers in enterprise networks using data from multiple Windows endpoints. This involves analyzing attack patterns, finding statistical anomalies, and validating detections against real attacks and APTs on customer data.
Job Responsibility
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities
Take an active role in our collection modules by improving existing ones and investigating new ones to improve detection quality
Simulate attacks in the lab and conduct a deep analysis of the behavior
Be part of a diverse research group, improving our research processes to create a better product
Stay up to date with APTs, attacker methodologies, and TTPs
Requirements
In-depth knowledge of the inner-workings of operating systems (Especially Windows)
Intimate knowledge and understanding of attack methods and techniques over endpoints and enterprise networks
Vast experience and interest in malware research or development
Python software development experience
Comfortable conducting research and gathering insights by querying large databases