AI Tooling & Model Risk Manager

Posted date Posted 11 days ago

Job 155738

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Agile Working Options Job Share;
Hybrid Working

Job description

JOB TITLE: Tech and Tooling Manager - Markets & AI Modelling - Model Risk Office

SALARY: £84,051 - £93,390

LOCATION(S): Halifax, Edinburgh, Bristol, Cardiff or Leeds

HOURS: [Full-time]

WORKING PATTERN
:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.



What you’ll be doing!

We have an exciting opportunity for an experienced candidate to join the Markets & AI Modelling Team within the Model Risk Office as Manager, in the newly established AI Tech and Tooling Team at Lloyds Banking Group.

This role offers an exciting opportunity to be part of a dynamic and constantly evolving AI team, providing considerable scope for personal and professional development.

The Model Risk Office will act as the front door for the business to advance their AI ambitions, requiring excellent collaboration with our CCOR teams (e.g., Data Risks, Cyber and Security, Supplier Management, Conduct).

Our

Purpose:

Better Models, Better Decisions, Better Outcomes.



Some of the activities you'll be involved in:

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.

• 3+ years professional experience working in AI Model Development / Validation, or a similar quantitative role within financial services or other regulated industries; or a recent relevant PhD.
• A numerate degree or equivalent experience (e.g., Data Science, Statistics, Mathematics, Computer Science, or Physics).
• Strong analytical and problem-solving skills with the ability to critically evaluate complex AI systems and models.
• Excellent written and verbal communication skills, with an ability to communicate complex quantitative concepts clearly to non-technical customers.
• Ability to work proactively and independently, manage time optimally, and deliver high-quality outputs within tight timelines.

• Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, Tensor Flow, Lang Chain, Llama Index, or similar tools; including SQL.
• Hands-on experience or strong theoretical knowledge of GenAI techniques and methodologies.
• Familiarity with cloud AI platforms such as GCP Vertex AI and Big Query, Azure AI, or similar enterprise-level AI deployment environments.
• Experience and knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and standard processes in AI ethics and governance.