
Product Security Architecture - Cybersecurity Analyst
- London
- Permanent
- Full-time
- Support security architecture reviews for web, API, and backend applications, working alongside senior security staff.
- Assist in security assessments during the development lifecycle, including contributing to scoping discussions, performing threat modelling, and participating in peer reviews.
- Help implement security controls within application frameworks, ensuring alignment with Visa’s security standards.
- Contribute to the identification and analysis of application on prem and cloud security vulnerabilities, recommending appropriate mitigations.
- Apply coding skills to review source code where applicable, develop proof-of-concept security tools or scripts, and automate security checks.
- Support security evaluations and help monitor ongoing security advisories.
- Gain experience in the security implications of infrastructure as code (IaC) technologies (Terraform, Ansible, AWS CloudFormation) and CI/CD pipelines.
- Assist in the security review of AI/ML and GenAI-related services, including prompt injection risks, data privacy, and model security controls.
- Stay informed about current and emerging cybersecurity threats, security testing tools, and AI-driven security solutions.
- Collaborate with cross-functional and geographically distributed teams to ensure security requirements are understood and implemented.
- Help maintain and update security documentation, technical guidelines, and reference architectures.
- Demonstrable coding skills in at least one modern language (Python, Java, Go, or similar).
- Practical experience working with Generative AI (GenAI) technologies or AI/ML systems, with the ability to explain key security considerations, risks, and basic control approaches for AI-driven systems. (Deep implementation expertise not required at this level, but a strong foundational understanding is essential).
- Working knowledge of cloud platforms (AWS, Azure, GCP) and common security patterns for cloud-native applications.
- Familiarity with security principles for on-premise network, application security and cloud environments.
- Understanding of threat modelling and vulnerability assessment processes.
- Awareness of common security standards and frameworks (PCI-DSS, NIST, ISO 27001).
- Exposure to security controls in GenAI platforms (e.g., LLMs, AI/ML pipelines).
- Exposure to container technologies (Docker, Kubernetes) and associated security tools.
- Familiarity with DevOps practices and security automation.
- Experience with vulnerability management solutions.
- Awareness of regulatory and compliance requirements relevant to the payments industry (e.g., PCI, GDPR).
We are sorry but this recruiter does not accept applications from abroad.