
Cyber Security Threat Modeller
5 days ago
Job Title: Cybersecurity Analyst - Threat Modeller
About the RoleWe are seeking a highly skilled cybersecurity analyst with expertise in threat modelling and AI-driven security operations. The ideal candidate has a strong foundation in incident response, security tools, and large language models (LLMs). This role blends traditional SOC responsibilities with research and development in AI-driven cybersecurity workflows.
Key Responsibilities:- Monitor, triage, and investigate alerts from security tools and platforms to identify root causes of security incidents and recommend remediation.
- Differentiate true positives from false positives to refine detection accuracy.
- Build and evaluate cybersecurity models leveraging LLMs to identify emerging threats and design real-world evaluations of model performance, including adversarial scenarios.
- Research and recommend data sources for training and fine-tuning models.
- Develop workflows for data curation, labelling, and threat detection, and document findings, processes, and evaluation metrics.
- Perform data labelling for supervised evaluations and model improvement.
- Establish metrics for reducing false positives and improving precision/recall, collaborating with security engineers, researchers, and data scientists to operationalize AI-driven SOC workflows.
Required skills and qualifications include 5+ years of experience in a SOC analyst, incident response, or related cybersecurity role, with strong knowledge of alert triage, root cause analysis, and incident handling.
Experience or strong interest in AI/ML applications in cybersecurity is also preferred, as well as familiarity with Python and data manipulation libraries.
Benefits:- Be part of an innovative team pioneering AI-driven SOC workflows.
- Apply cutting-edge LLM research directly to real-world cyber defence.
- Flexible scheduling aligned with PST hours.
- Opportunity to shape the future of AI in cybersecurity operations.
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