Role Purpose
We’re looking for a Security Domain Analyst who combines deep cybersecurity knowledge with strong analytical ability. In this role, you’ll work closely with Product, Data Engineering, and Client Solutions teams to design security use cases, analyse complex datasets, and support the development of Prevalent AI’s Data Fabric and Exposure Management products.
This role is highly collaborative and ideal for someone who is self-driven, detail-oriented, and passionate about helping enterprises strengthen their security posture.
Key Responsibilities
Product Development & Analytics
- Use security domain expertise to enhance our Data Fabric and Exposure Management products.
- Design and validate security use cases using frameworks such as NIST, CIS, ISO 27001.
- Work with Data Engineers and Data Scientists to develop and refine analytical models.
Client Engagement
- Partner with client security teams to analyse, prioritise and interpret risk insights.
- Support investigations into exposures, controls and threats to improve client security posture.
Data Analysis & Modelling
- Identify relevant data sources and conduct exploratory analysis.
- Define correlations across data sources and contribute to domain and analytical data models.
Review data quality and ensure alignment with product requirements.
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Skills & Experience
- Experience in security analysis with proficiency in security tools.
- Strong understanding of cybersecurity risks, threats, vulnerabilities and controls across network, cloud and application environments.
- Exposure to security tools such as SIEM, vulnerability management, threat intelligence and cloud security platforms.
- Strong analytical, problem-solving and communication skills.
- Organized, self-motivated and comfortable working in fast-paced environments.
