Junior Threat Analyst / Labeler

The Classification & Labelling team is the foundation of Gen's automated detection capabilities. As a Junior Threat Analyst / Labeller, you will label and classify threat samples across the SafeSMS, EmailGuardian, AI Assistant and other detection pipelines, triage false positive and false negative submissions from our FP solving system, and support senior analysts with classification decisions that directly determine detection accuracy for millions of Gen customers. Don't be put off if you're new to security, we will teach you what you need to know.

Responsibilities

Label incoming threat samples across SafeSMS, EmailGuardian, AI Assistant, and other detection pipelines; Triage FP/FN submissions from FP solving system and escalate edge cases to senior analysts; Manage and classify email and SMS threat clusters consistently and at volume; Support senior analysts with research and classification decisions on novel or ambiguous samples; Participate in data analysis projects that feed into detection pipeline improvements; Document classification rationale clearly in Jira and internal labelling systems; Take part in regular calibration sessions to keep labelling standards consistent across the team

Requirements

Minimal understanding of common threat types: phishing, scams, social engineering, malicious URLs, and others; Ability to assess threat indicators: message content, URLs, sender metadata; Strong attention to detail, accuracy and consistency at volume; Ability to work independently and in a team-oriented environment; Clear written communication for documenting classification decisions and escalation notes; English level B2 or higher

Nice to have

Ability to assess file metadata; Familiarity with scripting or programming languages (Python, PowerShell or others); Scam detection techniques across SMS, email, and AI-generated content; Malware identification methods; Python or scripting basics for handling samples at scale