
Cybersecurity Threat Modelling Specialist
1 week ago
We are seeking a forward-thinking Cybersecurity Threat Modeller with expertise in security operations and a passion for applying large language models (LLMs) to real-world threat detection.
This role blends traditional SOC responsibilities with research and development in AI-driven cybersecurity workflows. The ideal candidate has a strong foundation in incident response and threat triage while being able to experiment with and evaluate advanced machine learning models to enhance detection capabilities.
About the RoleThe successful candidate will be responsible for:
- Monitoring, triaging, and investigating alerts from security tools and platforms.
- Identifying root causes of security incidents and recommending remediation.
- Differentiating true positives from false positives to refine detection accuracy.
To be successful in this role, you will need:
- A minimum of 5 years of experience in a SOC analyst, incident response, or related cybersecurity role.
- Strong knowledge of alert triage, root cause analysis, and incident handling.
- Familiarity with security tools (SIEM, EDR, IDS/IPS, etc.).
- Experience or strong interest in AI/ML applications in cybersecurity.
- Ability to work independently in part-time PST shifts.
This is an exciting opportunity to be part of an innovative team pioneering AI-driven SOC workflows. As a Cybersecurity Threat Modeller, you will have the chance to apply cutting-edge LLM research directly to real-world cyber defence.
You will also enjoy flexible scheduling aligned with PST hours and the opportunity to shape the future of AI in cybersecurity operations.
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