At a Glance
- Tasks: Join a dynamic AI team to develop and support innovative modelling tools.
- Company: Lloyds Banking Group, committed to diversity and inclusion.
- Benefits: Generous salary, pension contributions, flexible working, and 28 days holiday.
- Other info: Great opportunities for personal and professional growth in a supportive environment.
- Why this job: Make a real impact in AI while enjoying a fulfilling career.
- Qualifications: Experience in AI model development or validation; strong analytical skills.
The predicted salary is between 57150 - 63500 € per year.
An excellent opportunity for a highly motivated candidate to join the Markets & AI Modelling team within the Model Risk Office 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).
What you’ll be doing!
- 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.
- 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.
What we’re looking for?
- 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 such as Data Science, Statistics, Mathematics, Computer Science or Physics, or equivalent experience.
- 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 stakeholders.
- To work proactively and independently, manage time effectively, and deliver high-quality outputs within tight timelines.
And any experience of these would be a plus:
- Proficiency in Python programming and experience using AI-specific frameworks or libraries such as PyTorch, TensorFlow, LangChain, Ollama, LlamaIndex, or similar tools; proficiency in SQL.
- Hands-on experience or strong theoretical knowledge of GenAI techniques and methodologies.
- Familiarity with cloud AI platforms such as GCP Vertex AI and BigQuery, Azure AI, or similar enterprise-level AI deployment environments.
- Experience or understanding of frontend development for internal tools or dashboards, with knowledge of TypeScript/JavaScript and modern UI frameworks such as React; familiarity with basic UI/UX principles is desirable, along with an understanding of how AI tooling is consumed by end users.
- Experience or understanding of backend and API development, including designing and consuming RESTful endpoints, integrating services, and supporting end‐to‐end workflows for AI or data-driven applications.
- Experience or knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and industry best practices in AI ethics and governance.
This is a place for you:
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we’re committed to creating an environment in which everyone can thrive, learn and develop. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 28 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you’ll learn and thrive? Apply today and find out more.
Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office employer: Lloyds Bank plc
Lloyds Banking Group is an exceptional employer that prioritises personal and professional growth within a dynamic and inclusive work environment. With flexible working options, a comprehensive benefits package including generous pension contributions and wellbeing initiatives, and a commitment to diversity and inclusion, employees are empowered to thrive while making a meaningful impact in the financial services sector. Join us in shaping the future of finance in vibrant locations like Bristol, Cardiff, Halifax, Edinburgh, or Leeds, where collaboration and innovation are at the heart of our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their AI ambitions and think about how your skills can contribute. Tailor your responses to show you're the perfect fit for their team.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are speaking about your experience and skills, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Markets & AI Modelling role. Highlight your relevant experience in AI model development and validation, and don’t forget to mention any specific tools or frameworks you’ve worked with that align with the job description.
Showcase Your Skills:Use your application to demonstrate your analytical and problem-solving skills. Include examples of how you've tackled complex AI systems or models in the past, and make it clear how your background fits with the responsibilities outlined in the job description.
Communicate Clearly:Since the role involves explaining complex concepts to non-technical stakeholders, ensure your written application is clear and concise. Avoid jargon where possible and focus on making your points easy to understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI model development and validation. Be ready to discuss specific frameworks like PyTorch or TensorFlow, and how you've used them in past projects. This will show that you're not just familiar with the concepts but have practical experience too.
✨Communicate Clearly
Since you'll need to explain complex quantitative concepts to non-technical stakeholders, practice simplifying your explanations. Use examples from your previous work to illustrate your points. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in AI modelling and how you overcame them. Think about the analytical methods you used and the outcomes. This will highlight your critical thinking and problem-solving abilities, which are crucial for this role.
✨Be Ready for Technical Questions
Expect some technical questions related to AI tooling and model risk. Brush up on your knowledge of regulatory requirements like GDPR and the EU AI Act. Being well-versed in these areas will show that you understand the broader implications of your work in AI.
