13 of 13 Malware Analysis Jobs in Central London

Incident Responder, supporting complex investigations into cyber security incidents. Conduct proactive threat hunting to detect and neutralize emerging threats. Monitor and analyze logs via SIEM, EDR, and network traffic analysis tools for potential attack indicators. Investigate security incidents, including malware infections, phishing attacks, and unauthorized access attempts. Develop and enhance incident response playbooks, ensuring alignment with evolving threats. … Analyze threat intelligence sources to identify new attack vectors and adversary tactics. Provide forensic analysis and malware reverse engineering to assess security incidents. Collaborate with IT, Risk, and Compliance teams to ensure regulatory compliance and security best practices. Produce timely reports on incident trends, threat intelligence insights, and response actions. Lead training sessions and tabletop exercises to improve … and incident response readiness. What You Are Good At Strong verbal and written communication skills for stakeholder engagement and incident reporting. Deep knowledge of cyber-attack techniques, including phishing, malware, ransomware, lateral movement, and data exfiltration. Strong hands-on experience with SIEM, EDR, IDS/IPS, and forensic analysis tools. Expertise in threat cyber security frameworks such as More ❯

operations key risk indicators and will be able to identify data points required to measure them. This role will suit a SOC Analyst with a strong technology background, advanced malware analysis, reverse engineering skills, and complex forensic investigations experience. The ideal candidate will be a Senior SOC Analyst within another Banking organisation. Minorities, women, LGBTQ+ candidates, and individuals More ❯

operations key risk indicators and will be able to identify data points required to measure them. This role will suit a SOC Analyst with a strong technology background, advanced malware analysis, reverse engineering skills, and complex forensic investigations experience. The ideal candidate will be a Senior SOC Analyst within another Banking organisation. Minorities, women, LGBTQ+ candidates, and individuals More ❯

operations key risk indicators and will be able to identify data points required to measure them. This role will suit a SOC Analyst with a strong technology background, advanced malware analysis, reverse engineering skills, and complex forensic investigations experience. The ideal candidate will be a Senior SOC Analyst within another Banking organisation. Minorities, women, LGBTQ+ candidates, and individuals More ❯

with hands-on SOC experience . Proficiency in threat-hunting methodologies and investigative techniques. Experience with SIEM platforms such as Splunk, Sentinel , or similar. Solid understanding of security frameworks, malware analysis, and network protocols. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA Security+, CEH, GCIA, or Splunk Certified ) are a plus. More ❯

with hands-on SOC experience . Proficiency in threat-hunting methodologies and investigative techniques. Experience with SIEM platforms such as Splunk, Sentinel , or similar. Solid understanding of security frameworks, malware analysis, and network protocols. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA Security+, CEH, GCIA, or Splunk Certified ) are a plus. More ❯

with hands-on SOC experience . Proficiency in threat-hunting methodologies and investigative techniques. Experience with SIEM platforms such as Splunk, Sentinel , or similar. Solid understanding of security frameworks, malware analysis, and network protocols. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA Security+, CEH, GCIA, or Splunk Certified ) are a plus. More ❯

with hands-on SOC experience . Proficiency in threat-hunting methodologies and investigative techniques. Experience with SIEM platforms such as Splunk, Sentinel , or similar. Solid understanding of security frameworks, malware analysis, and network protocols. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA Security+, CEH, GCIA, or Splunk Certified ) are a plus. More ❯

with hands-on SOC experience . Proficiency in threat-hunting methodologies and investigative techniques. Experience with SIEM platforms such as Splunk, Sentinel , or similar. Solid understanding of security frameworks, malware analysis, and network protocols. Strong analytical and problem-solving skills. Relevant certifications (e.g., CompTIA Security+, CEH, GCIA, or Splunk Certified ) are a plus. More ❯

the security of the firm’s information assets. In this role, you will act as the first point of contact for security-related incidents, and conduct investigative work including malware analysis, email forensics, and other incident response activities. The successful candidate will be a hands-on, technically skilled security professional with experience across a broad range of cybersecurity More ❯

e s . On top of the latest developments in the industry, and able to advise on new and alt ernative approaches to solving problems. Lead Day 2 monitoring & analysis of models. What you'll need to be successful: Advanced knowledge of machine learning, deep learning, and statistical analysis. Massive bonus points if you have experience applying these skills … to threat detection, malware analysis, phishing, and/or abuse detection. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring . Proficient in a More ❯

their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including More ❯

their capabilities, increase the quality of their offering and evolve their platform. Required experience for the Senior/Principal AI Engineer role: Machine learning (ML), deep learning and statistical analysis skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including More ❯