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Collaboration with stakeholders to understand their security requirements in business processes and IT projects, to enhance overall risk management.
Execution of risk assessments to identify and prioritise potential cybersecurity threats that could impact the banks operations and data and guide the implementation of mitigation strategies and communicate findings to relevant findings to relevant senior stakeholders.
Collaboration with business units to develop and implement security policies and procedures for the banks operations aligned to the risk management framework.
Management of the implementation, testing and monitoring of security controls across the banks IT systems to ensure the effectiveness of controls and mitigation of risk.
Execution of training content and sessions to educate employees, enhance cybersecurity awareness and provide guidance on safe online practices.
Management of complex cybersecurity incidents by collaborating with IT teams and response experts to effectively resolve cases through analysis, expertise support and project supervision.
Identification of emerging cybersecurity trends, threats, and new technologies to address potential risks by advocating the adoption of new security solutions.
Requirements:
Technical Acumen in AI Security: Strong understanding of core cybersecurity domains including identity, data protection, application, and cloud security, and how they apply to AI/ML systems, including AI-specific threats such as prompt injection, model poisoning, and model theft.
Strategic & Analytical Thinking: Ability to translate enterprise security objectives into practical, risk-based delivery guidance
assess complex AI solutions, prioritise risks by business impact, and balance innovation with security and compliance.
Leadership & Influence: Proven capability to lead specialist teams and influence senior stakeholders across a matrix organisation, clearly articulating AI security risk in business terms and gaining buy-in at CTO/CIO and executive forum level.
Nice to have:
AI Security Domain Expertise: Hands-on experience securing or assessing AI/ML systems, with knowledge of emerging AI security frameworks and industry guidance such as the NIST AI Risk Management Framework and OWASP AI/LLM guidance.
Regulatory & Industry Awareness: Understanding of the evolving AI regulatory landscape (e.g. the EU AI Act) and experience engaging with regulators or auditors on technology- and AI-related risk.
Thought Leadership & Innovation: Demonstrated interest in advanced AI trends such as Generative AI, LLMs, and agentic AI, and their security implications, evidenced through publications, presentations, or industry participation.