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Join us as a "CBP- TCRS Cloud Technology & Cyber" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
Job Responsibility:
Assess the integrity and effectiveness of the banks internal control framework to support the mitigation of risk and protection of the banks operational, financial, and reputational risk
Knowledge of business areas, products, processes and platforms to be able to assess risk
Collaboration with various stakeholders across the bank and business units to improve overall control effectiveness through detailed documentation of control assessments, procedures, and findings
Identification and investigation of potential weaknesses and issues within internal controls to promote continuous improvement and risk mitigation aligned to the bank’s control framework, prioritised by its severity to disrupt bank operations
Development of reports to communicate key findings from risk assessment including control weaknesses and recommendations to control owners, senior management, and other stakeholders
Execution of reviews to determine the effectiveness of the bank's internal controls framework aligned to established and evolving policies, regulation, and best practice
Implementation of adherence to the Barclays Controls Framework and set appropriate methodology of assessing controls against the Controls Framework
Requirements:
Graduate in Science & Technology discipline
Proven background assessing Artificial Intelligence and Large Language Model implementation or systems
Background in Application development and/or application/system risk assessments, Agentic AI or Gen AI specific is preferred
Practical knowledge of AI‑driven cloud offerings such as AWS Bedrock, Azure OpenAI Service, and related GenAI platforms, with hands‑on experience across AI risk management, AI solution architecture, and AI security controls in cloud environments
Working knowledge of AWS AI and supporting services, such as Bedrock, SageMaker, Kendra, Comprehend, Lambda, API Gateway, CloudWatch, CloudFormation, Route 53, and integrations essential for building scalable AI applications
Awareness of modern AI application delivery approaches, including rapid model development, CI/CD for AI, MLOps, infra-as-code, containerization (Docker), automated testing, and deployment workflows aligned to GenAI lifecycle management
Familiarity with AI‑related industry standards and cloud best practices, including NIST AI Risk Management Framework, CIS Cloud Security Controls, CSA Cloud Controls Matrix, and secure‑by‑design principles for cloud‑hosted AI systems
Experience around Regulatory and compliance requirements related to AI technology/security e.g EU AI Act
Nice to have:
Preferred Certifications: ISO 42001:2023, AWS Certified AI Practitioner, Azure AI Fundamentals, AWS Solutions Architect Associate/Professional, AWS Certified Security – Specialty, CCSK or CCSP
Excellent relationship building and networking skills
Experience in managing/ supporting controls/ Risk committees
Experience in senior stakeholder management. Ability to manage reporting lines and relationships across multiple disciplines