Lloyds Banking Group

Artificial Intelligence

• You’ll join a dedicated team responsible for the development, implementation, and support of AI/GenAI tooling to enable scalable, efficient, and reliable validation and risk oversight.
• Responsibilities will also include: Collaborating to develop tools for validation, testing, explainability, and monitoring.
• Supporting validation activities by developing prototype pipelines and frameworks for testing AI/GenAI models.
• Building and maintaining reusable code libraries to automate model documentation, validation, and risk assessments.
• Driving technical innovation and continuous improvement of the validation tooling environment.
• Developing benchmark testing templates and reporting dashboards to streamline assurance across use cases.
• Monitoring emerging technologies (e.g., LLMOps, RAG pipelines, agent toolkits) to future-proof the validation and tooling landscape.
• Supporting knowledge sharing, collaboration, and tooling governance across stakeholders.

Tech and Tooling Manager – Markets, AI Modelling

People Operations

• Partner with the Senior Manager to deliver the People & Places control automation journey, identifying existing automation opportunities, control gaps and applying control‑by‑design principles to embed automation at source.
• Work collaboratively with platform and technology teams to design, build, cost and deliver automated and AI‑enabled controls, ensuring solutions align to P&P automation standards and Group risk expectations.
• Own and cascade the P&P control automation review methodology and schedule, supporting customers through structured deep‑dives to identify, prioritise and implement automation opportunities across end‑to‑end processes.
• Establish and engage a network of business partners to champion control automation, coordinate deep‑dive activity, and drive momentum across P&P priority areas.
• Work closely with Risk and Control Owners to deliver automation outcomes aligned to customer, business and strategic priorities, supporting measurable improvements in control effectiveness, efficiency and risk reduction.
• Analyse and assess the efficiency of the control environment using multiple data sources (e.g. ROP, MI, incidents, KRIs/KCIs, audit findings), identifying control weaknesses, automation candidates and business impacts.
• Support the development and execution of the P&P control strategy, supervising and testing the design and operating effectiveness of controls across end‑to‑end processes, with a clear bias towards preventative and automated controls.
• Lead targeted control testing and transactional activity, supervising a small team delivering control management tasks and using outcomes to inform automation and design improvements.
• Contribute to the ongoing development of control tooling and platforms, including the use of digital, data‑driven and AI‑enabled solutions to optimise control operation, assurance and insight.
• Ensure timely and accurate reporting on control performance and effectiveness, maintaining strong data quality, completeness and integrity of monitoring, testing, KCIs and dashboards for escalation to P&P Risk Committee.
• Support the management of operational risk events and RCSA actions, identifying control weaknesses, recommending improvements and tracking remediation through to closure, with increasing use of automation and predictive insight.
• Embed AI awareness and readiness into control activities, supporting the identification of AI‑applicable controls, ensuring responsible adoption, and helping future‑proof the P&P control environment in line with the P&P 2030 roadmap.

People & Places Control Manager

• Lead an Agentic AI domain, owning how that domain maps to and enables the Group’s business priorities and outcomes.
• Work with domain and business leaders to identify, frame, and prioritise Agentic AI opportunities and use cases, ensuring choices are grounded in commercial and operational reality.
• Assess priorities across the full Agentic AI lifecycle, from inception and capability definition through build, deployment, adoption, and value realisation, identifying gaps and strengthening weak points.
• Build and maintain a realistic, scalable domain roadmap, orchestrating work across business units, platforms, and enabling teams.
• Translate business objectives into agentic and technical requirements, with sufficient understanding of data, integration, and system dependencies to make the strategy credible and executable.
• Engage and influence senior stakeholders to secure alignment, resolve competing priorities, and agree clear OKRs—maintaining a single, coherent domain narrative across value, governance, platforms, skills, and change.
• Define domain-level value outcomes and track realisation, ensuring Agentic AI initiatives remain outcome-led rather than activity-driven.
• Drive operating-model change and business adoption, shaping how agents, teams, controls, and processes come together to make Agentic AI effective in practice.
• Promote cross-functional collaboration and reuse across business domains and Agentic AI ecosystem, reducing duplication and accelerating scale.
• Lead and develop a small team of strategy managers within the AI CoE, creating focus, delivery discipline, and synergy across Agentic AI domains.

AI Strategy Lead

Customer Support

• You’ll start your journey in one of our branches, providing face‑to‑face support to customers.
• While you’ll handle some everyday banking tasks, the heart of this role is helping people through important moments — offering reassurance, guidance and practical support.
• This could include supporting someone through a bereavement, resolving a fraud concern, helping a vulnerable customer, or building confidence with digital banking.
• You’ll adapt to different customer needs, promote and support our digital services, and confidently help customers use online and mobile banking independently.
• You’ll also recognise opportunities to connect customers with the right products and services.

• Start in one of our branches, supporting customers side‑by‑side
• Transition to working from home, handling inbound calls
• Help customers through a range of channels including social media, web‑chat and remote video appointments
• Resolve banking tasks, offering reassurance, guidance and practical support
• Recognise opportunities to connect customers with the right products and services

Risk

• Working as part of a team you’ll support all stages of model monitoring from maintaining existing monitoring to developing new monitoring solutions to support any newly developed models.
• Carrying out analysis and providing data insights to stakeholders across Risk.
• Build and maintain Model Monitoring packs for commercial banking customers.
• Use SAS and SQL and python for data manipulation and analysis.
• Work with Risk and Finance business partners to agree the objectives of analytical projects and ensure they meet regulatory and business requirements.
• Mentoring and coaching of junior colleagues.
• Collaborate with multidisciplinary teams, including internal governance and implementation teams, to deliver effective analytical solutions.

Assistant Manager – Risk Science

• You'll start your journey in one of our branches, providing face‑to‑face support to customers.
• While you’ll handle some everyday banking tasks, the heart of this role is helping people through important moments — offering reassurance, guidance and practical support.
• This could include supporting someone through a bereavement, resolving a fraud concern, helping a vulnerable customer, or building confidence with digital banking.
• You’ll adapt to different customer needs, promote and support our digital services, and confidently help customers use online and mobile banking independently.
• You’ll also recognise opportunities to connect customers with the right products and services.

Auditor

• Lead Group Audit’s approach for Lloyds Bank Corporate Markets
• Provide leadership and strategic direction for Group Audit activity
• Shape and deliver a risk‑focused audit plan
• Attend LBCM Audit Committee and other senior committees
• Assess whether significant risks are appropriately identified and reported
• Maintain relationships with regulators

Chief Internal Auditor – SMF5

• Lead strategy for key Agentic AI domains
• Work closely with business and technology teams
• Develop clear strategy artefacts to support prioritisation
• Turn strategy into actionable plans
• Identify and manage risks and dependencies
• Build strong relationships with partners
• Champion measurable outcomes and track value

Senior AI Strategy Manager

Manager

• Review Technical Due Diligence outputs and provide recommendations
• Oversee contract administration and developer compliance
• Conduct site assurance and quality oversight
• Manage relationships and performance against KPIs
• Consolidate monthly programme and risk reporting into a dashboard
• Escalate quality and health & safety issues
• Summarise proposed contractual variations

Development Manager

• Start your journey in one of our branches, providing face‑to‑face support to customers.
• Handle some everyday banking tasks, helping people through important moments — offering reassurance, guidance and practical support.
• Recognise opportunities to connect customers with the right products and services.
• Promote and support our digital services, helping customers use online and mobile banking independently.
• Progress into other roles across the Group, including supporting customers by phone, online, or through channels like web chat, video, or social media.

AI Engineer

• Lead the Advanced AI Engineering team, reporting to the Group Director of Data & AI Architecture
• Define and lead the Group’s Data and AI technology strategy and incubate new AI‑driven products and capabilities
• Evaluate emerging AI technologies, build and deliver MVPs, and transition into engineering at scale
• Create industry‑leading AI‑powered products and services that drive customer engagement and service excellence
• Solve critical business and technology challenges and ensure high‑quality conversational AI delivery
• Shape technical direction, driving applied research and prototyping, and collaborating with senior collaborators and engineering teams.

Head of Advanced AI Engineering

• Partner with the Senior Manager to deliver the People & Places control automation journey, identifying existing automation opportunities, control gaps and applying control‑by‑design principles to embed automation at source.
• Work collaboratively with platform and technology teams to design, build, cost and deliver automated and AI‑enabled controls, ensuring solutions align to P&P automation standards and Group risk expectations.
• Own and cascade the P&P control automation review methodology and schedule, supporting customers through structured deep‑dives to identify, prioritise and implement automation opportunities across end‑to‑end processes.
• Establish and engage a network of business partners to champion control automation, coordinate deep‑dive activity, and drive momentum across P&P priority areas.
• Work closely with Risk and Control Owners to deliver automation outcomes aligned to customer, business and strategic priorities, supporting measurable improvements in control effectiveness, efficiency and risk reduction.
• Analyse and assess the efficiency of the control environment using multiple data sources (e.g. ROP, MI, incidents, KRIs/KCIs, audit findings), identifying control weaknesses, automation candidates and business impacts.
• Support the development and execution of the P&P control strategy, supervising and testing the design and operating effectiveness of controls across end‑to‑end processes, with a clear bias towards preventative and automated controls.
• Lead targeted control testing and transactional activity, supervising a small team delivering control management tasks and using outcomes to inform automation and design improvements.
• Contribute to the ongoing development of control tooling and platforms, including the use of digital, data‑driven and AI‑enabled solutions to optimise control operation, assurance and insight.
• Ensure timely and accurate reporting on control performance and effectiveness, maintaining strong data quality, completeness and integrity of monitoring, testing, KCIs and dashboards for escalation to P&P Risk Committee.
• Support the management of operational risk events and RCSA actions, identifying control weaknesses, recommending improvements and tracking remediation through to closure, with increasing use of automation and predictive insight.

• Developing our understanding of what drives the Group's Corporate reputation externally, identifying drivers of reputational growth and how we can bring that to life across our campaigns.
• Exploring and embedding new analytical approaches, including AI‑enabled research, social listening, narrative testing and horizon scanning.
• Supporting the refinement of our measurement processes across each audience to build a more accurate representation of our current standing.
• Champion insight‑led strategy, using data, technology and expert judgement to challenge assumptions, surface trade‑offs and shape campaign direction.
• Lead on production and delivery of insight projects and support the delivery of strategy planning by undertaking or commissioning white space analysis, horizon scanning, market and competitor scans.

Reputation & Campaigns Insights Manager – 18-Month FTC

Full-stack Engineer

• Join a new AI Productivity Lab focused on accelerating employee productivity and business process automation through cutting-edge agentic co-working technologies
• Build domain-specific agents and tools, working alongside Principal Engineers and the Head of the Lab to rapidly prototype, iterate and embed solutions into real business processes
• Contribute to reusable knowledge assets, integrating secure, enterprise-grade solutions, and supporting adoption by collaborating with business teams to embed agentic working into day-to-day operations
• Operate within the Data & AI Unit of the Chief Technology Office, shaping and scaling AI-driven capabilities, combining modern agentic engineering practices with strong discipline around quality, security and usability

Tech and Tooling Manager – Markets, AI Modelling

People & Places Control Manager

AI Strategy Lead

Customer Support

Customer Support

Assistant Manager – Risk Science

Customer Support

Chief Internal Auditor – SMF5

Senior AI Strategy Manager

Development Manager

Customer Support

Head of Advanced AI Engineering

People & Places Control Manager

Reputation & Campaigns Insights Manager – 18-Month FTC

Lead Engineer – AI Productivity Lab