Cyber Risk Analyst
Posted 3 days ago by Barclay Simpson Recruitment
Negotiable
Inside
Hybrid
Hybrid - WFH/in London 3 days a week, UK
Summary: Cyber Risk Analyst needed for a global financial services firm to manage risk assessments related to AI governance in accordance with the EU AI Act. The role focuses on evaluating AI use cases for compliance, assessing project complexity and business impact, and conducting in-depth risk analyses for material projects. Analysts will utilize frameworks like the AI OWASP Top 10 to identify security risks beyond standard assessments.
Key Responsibilities:
- Perform AI-specific risk assessments to ensure regulatory compliance.
- Evaluate AI solutions for prohibited use cases and material business impact.
- Conduct technical security reviews of LLMs and deep learning models.
- Support decision-making on medium/high-risk projects via governance escalation.
- Collaborate with AI Governance and local risk management teams.
Key Skills:
- Strong IT and cybersecurity background.
- Expertise in AI technologies, including model development and deployment.
- Experience in risk assessment frameworks (eg, OWASP AI Top 10).
- Must be based in London.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Cyber Risk Analyst required for global financial services firm. You will manage risk assessments for Artificial Intelligence (AI) governance in alignment with the EU AI Act. This role involves evaluating all AI use cases to ensure compliance, assessing project complexity and business impact, and determining the materiality of AI initiatives. Material projects undergo in-depth risk analysis, with high-risk items escalated to governance committees. Analysts will use frameworks such as the AI OWASP Top 10 to identify and assess security risks beyond standard assessments.
Key Responsibilities:
- Perform AI-specific risk assessments to ensure regulatory compliance.
- Evaluate AI solutions for prohibited use cases and material business impact.
- Conduct technical security reviews of LLMs and deep learning models.
- Support decision-making on medium/high-risk projects via governance escalation.
- Collaborate with AI Governance and local risk management teams.
Requirements:
- Strong IT and cybersecurity background.
- Expertise in AI technologies, including model development and deployment.
- Experience in risk assessment frameworks (eg, OWASP AI Top 10).
- Must be based in London