Lloyds Banking Group

Requirements

• Define and lead the controls strategy for Data & AI risk, ensuring alignment with regulatory expectations, internal policies, and emerging industry standards.
• Help embed control by design across Data & AI products, pipelines, models, and platforms.
• Oversee end-to-end risk management and assurance for Data & AI capabilities.
• Drive organisational readiness and governance across Data & AI by anticipating and managing risks.
• Ensure transparent, ethical, and compliant AI adoption.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Define and lead the controls strategy for Data & AI risk, ensuring alignment with regulatory expectations, internal policies, and emerging industry standards.
• Help embed control by design across Data & AI products, pipelines, models, and platforms.
• Oversee end-to-end risk management and assurance for Data & AI capabilities.
• Drive organisational readiness and governance across Data & AI by anticipating and managing risks.
• Ensure transparent, ethical, and compliant AI adoption.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Relevant experience in second line risk, AI governance, compliance, or technology risk, or data risk.
• Foundational understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Good communication skills with the ability to engage cross-functional teams and summarise technical risk findings clearly.
• Exposure to risk or governance frameworks applied in AI or technology domains.
• Familiarity with second-line risk functions or oversight roles supporting assurance, governance, or regulator

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Relevant experience in second line risk, AI governance, compliance, or technology risk, or data risk.
• Foundational understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Good communication skills with the ability to engage cross-functional teams and summarise technical risk findings clearly.
• Exposure to risk or governance frameworks applied in AI or technology domains.
• Familiarity with second-line risk functions or oversight roles supporting assurance, governance, or regulator

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Relevant experience in model risk, AI governance, compliance, or technology risk.
• A proven understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Strong communication and collaboration skills.
• Ability to work on the strategy, shape risk assessment frameworks, and support business for AI use cases.
• May lead a team of risk specialists and deputise for more senior colleagues.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Wellness Programs

Skills

Requirements

• Relevant experience in model risk, AI governance, compliance, or technology risk.
• A proven understanding of AI/ML and GenAI risks across different lifecycle stages (e.g. data use, model outputs, integration, monitoring).
• Strong communication and collaboration skills.
• Ability to work on the strategy, shape risk assessment frameworks, and support business for AI use cases.
• May lead a team of risk specialists and deputise for more senior colleagues.

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Wellness Programs

Skills

Requirements

• Define strategy and technical direction for agentic AI services
• Lead, develop and coach multiple teams
• Design and deliver AI Agents using services such as Vertex AI
• Integrate securely with enterprise systems
• Foster a high-performance and inclusive engineering culture
• Develop and grow engineering capability
• Deliver outcomes at pace in a regulated environment

Benefits

• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work
• Remote Work Stipend

Skills

Requirements

• Proven experience deploying AI models safely and responsibly within financial services or other highly regulated environments.
• Demonstrated experience managing data quality, model performance, and ongoing monitoring challenges across the AI model lifecycle.
• Ability to communicate technical issues clearly.
• Strong judgement and ethical standards.
• Ability to collaborate with a range of technical and non-technical stakeholders.

Skills

Requirements

• Proven experience deploying AI models safely and responsibly within financial services or other highly regulated environments.
• Demonstrated experience managing data quality, model performance, and ongoing monitoring challenges across the AI model lifecycle.
• Ability to communicate technical issues clearly.
• Strong judgement and ethical standards.
• Ability to build strong relationships across risk, actuarial, data and technical teams.

Skills