Lead Analyst - Predictive Security Ops
Posted Updated
Description
Job Summary
Role Overview
About the Team
Responsibilities
Basic Qualifications
Preferred Qualifications
Skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
GSK remains committed to achieving bold commercial ambitions for the future. We aim to deliver 40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.
Role Overview
The Analyst, Proactive Defense Operations will deliver the teams work and act as a senior hands-on contributor within Proactive Defense Operations (PDO). This is a hands-on analytical role within the team, focused on converting global threat data into validated, automated defensive action at machine speed.
About the Team
Proactive Defense Operations (PDO) moves GSK from an intelligence-and-reporting model to an automation- and engineering-centric capability. The team converts global threat data into immediate, validated operational actions, interrogating internal telemetry, triggering automated defenses and equipping defenders with contextualized, high-fidelity blueprints. PDO is organized into two operational pillars, Intelligence Automation and Threat Context Analysis, and functions as the proactive defensive engine of Cyber Defense, working closely with Detection Engineering, SecOps/Incident Response and Vulnerability Management.
Responsibilities
- Deliver assigned work to agreed quality and timelines.
- Support colleagues with peer review and knowledge sharing.
- Monitor and dissect global threat streams, technical disclosures and campaign data to extract malicious behaviors and techniques (TTPs).
- Execute automated environment-check playbooks against centralized SIEM and data lake logs to establish enterprise exposure during emerging threat events.
- Compile high-fidelity Proactive Operational Packs (POPs) that deliver verified asset blast radius, adjusted risk profiles and pre-validated context to defenders.
- Leverage generative AI query and prompting frameworks to rapidly draft proactive behavioral detection logic (e.g. YARA-L, Sigma) for validation and deployment.
- Build and maintain the metrics that show whether the Cyber Defense function is getting ahead of threat activity.
- Partner with detection engineering, threat intelligence and threat exposure management to close predicted gaps.
- Establish the operating model for Proactive Defense Operations and mature it over time.
Basic Qualifications
- Degree in a relevant discipline, or related experience.
- Demonstrated experience in security operations, detection engineering or security data science.
- Proficient in using centralized telemetry interfaces (SIEM, EDR, cloud logs) to run complex, multi-variable queries.
- 4+ years of hands-on experience in technical Cyber Defense, Threat Hunting or advanced Security Operations.
- Demonstrated ability to deliver work independently to a high standard.
- Strong attention to detail in analysis and documentation.
Preferred Qualifications
- Experience with security data science, modelling or advanced analytics.
- Familiarity with MITRE ATTCK and threat-informed defence practice.
- Experience with generative AI query and prompting frameworks for detection logic drafting.
- Data engineering or Python analytics skill.
- Relevant certification such as CISSP, GCIA, GCDA, GCTI.
- Experience in pharmaceutical, life sciences or another highly regulated industry.
- Typical tools and technologies: SIEM (e.g. Google SecOps), security data lake (e.g. Azure Data Lake), SOAR (e.g. Torq), Threat Intelligence Platform (TIP), MITRE ATTCK Navigator, generative AI drafting tools, BI tooling.
Skills
- AI for Cybersecurity
- Cloud Security
- CTI Software
- Cyber Threat Intelligence
- Data Engineering
- Data Enrichment
- Forensic Data Analysis
- Incident Management
- Infrastructure Security
- Intrusion Detection
- Intrusion Prevention
- ML Security
- Offensive Cyber Operations
- Operational Threat Intelligence
- Python Automation
- Security Monitoring
- Security Operations
- Security Planning
- Security Protocols
- Security Risk
- Security Technologies
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.