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: Enjoy a competitive salary, generous pension, and flexible working options.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real impact in the evolving AI landscape while developing your 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) in Leeds 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) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI validation. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Bring along a portfolio of projects or case studies that highlight your experience with AI models. This will help you stand out and demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who are keen to join us directly.
We think you need these skills to ace Assistant Manager, AI Independent Validation (Model Risk Office) in Leeds
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 application process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info 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 not only help you answer questions confidently but also demonstrate your genuine interest in the position.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any AI frameworks you've used, like TensorFlow or PyTorch. Bring examples of projects where you've applied these skills, especially in model validation or development. This practical knowledge will set you apart from other candidates.
✨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 past experiences and how they relate to the job. This will highlight your communication skills, which are crucial for this role.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI technologies and regulatory frameworks, such as the EU AI Act or GDPR. Being able to discuss these topics during your interview shows that you're proactive and engaged with the evolving landscape of AI, which is a big plus for the hiring team.
