At a Glance
- Tasks: Validate and analyse AI models, ensuring they are robust and compliant with regulations.
- Company: Join Lloyds Banking Group's innovative Markets & AI Modelling team.
- Benefits: Generous pension, performance bonuses, flexible benefits, and 28 days holiday.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in AI validation while developing your technical skills.
- Qualifications: Experience in AI model validation or a relevant PhD; strong analytical skills required.
The predicted salary is between 57150 - 63500 € per year.
Salary: £57,150 - £63,500
Locations: Bristol, Halifax, Cardiff, Edinburgh or Leeds
Hours: Full‑time
What you’ll be doing!
Join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group and play a key role in the independent review, analysis and validation of AI/GenAI models. Some of the activities you'll be involved in:
- Assist with independent validation and periodic reviews of AI and GenAI models, ensuring models are robust, fair, explainable, and aligned with applicable regulations.
- Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance.
- Develop benchmark models and conduct quantitative analysis / recoding, predominantly using Python/GCP.
- Review model documentation to evaluate the soundness of the model and infrastructure, from inputs to use of the outputs.
- Raise validation challenges/findings and follow through to resolution.
- Provide clear, concise, and actionable reporting on validation outcomes and AI risk assessments to senior members of the team.
- Apply judgement in reviewing and supporting Risk Classifications to enable rapid assessment of model risk.
- Contribute to the improvement of validation frameworks and processes related to AI models.
- Track emerging trends in AI technologies, regulatory requirements, and industry standards, to ensure our practices are aligned with the evolving AI landscape.
Why join us?
Join us and you’ll make a difference to customers, enjoy a fulfilling career, and have access to great colleagues, amazing workspaces, hybrid working and huge career opportunities.
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 or equivalent experience, for example in 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 your time optimally, and deliver high‑quality outputs within set 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, LlamaIndex, or similar tools; proficiency in SQL.
- Hands‑on experience or strong theoretical knowledge of AI and 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 knowledge of regulatory requirements and frameworks relevant to AI, such as the EU AI Act, GDPR, SS1/23, and industry best practice in AI ethics and governance.
This is a place for you:
We are committed to diversity, equity and inclusion, and we provide a supportive environment where everyone can thrive, learn and develop. We also offer a wide‑ranging benefits package, which includes:
- Generous pension contribution of up to 15%
- 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
- 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.
Assistant Manager, AI Independent Validation (Model Risk Office) employer: Lloyds Banking Group
At Lloyds Banking Group, we pride ourselves on being an excellent employer, offering a dynamic work environment where innovation meets inclusivity. As part of our Markets & AI Modelling team, you'll engage in meaningful work that directly impacts our customers while enjoying a comprehensive benefits package, including generous pension contributions and flexible working arrangements. With a strong commitment to employee growth and development, you will have access to extensive career opportunities in a supportive culture that values diversity and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager, AI Independent Validation (Model Risk Office)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Lloyds Banking Group. A friendly chat can open doors and give you insider info on what they’re really looking for.
✨Tip Number 2
Prepare for the interview by brushing up on your AI knowledge. Make sure you can discuss the latest trends and regulations in AI, as well as your experience with Python and model validation. We want to see your passion shine through!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to tackle hypothetical scenarios related to AI models and demonstrate how you’d approach validation challenges. We love seeing candidates think on their feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Lloyds Banking Group.
We think you need these skills to ace Assistant Manager, AI Independent Validation (Model Risk Office)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Assistant Manager role. Highlight your experience in AI model validation and any relevant skills, like Python programming. We want to see how your background aligns with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical and problem-solving skills. Give examples of how you've tackled complex AI systems or models in the past. We’re keen to see your thought process!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your AI Models Inside Out
Before the interview, make sure you thoroughly understand the AI and GenAI models relevant to the role. Brush up on their validation processes, key metrics, and regulatory requirements. This will help you confidently discuss your experience and how it aligns with the team's goals.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python and any AI frameworks you've used. You might be asked to solve a problem or explain a model you've worked on. Practising coding challenges or discussing your past projects can really set you apart.
✨Communicate Clearly and Concisely
Since you'll need to explain complex concepts to non-technical stakeholders, practice articulating your thoughts clearly. Use simple language to describe your analytical processes and findings. This will show that you can bridge the gap between technical and non-technical audiences.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI technologies and regulatory frameworks. Being able to discuss current events or recent developments in the field will demonstrate your passion and commitment to staying informed, which is crucial for this role.
