At a Glance
- Tasks: Validate and review AI models, ensuring they are robust and compliant with regulations.
- Company: Join a leading financial services firm committed to innovation and inclusivity.
- Benefits: Enjoy a competitive salary, generous pension, bonus schemes, and 28 days holiday.
- Other info: Hybrid working model with opportunities for career growth and professional development.
- Why this job: Make an impact in the evolving AI landscape while developing your technical expertise.
- Qualifications: Experience in AI model validation or a relevant PhD; strong analytical skills required.
The predicted salary is between 57150 - 63500 £ per year.
Salary Range: £57,150 - £63,500
Location: Halifax, Edinburgh or Leeds
Working Pattern: Hybrid – at least two days per week (40%) at one of our office sites.
End Date: Sunday 07 June 2026
Responsibilities
- Assist with independent validation and periodic reviews of AI and GenAI models, ensuring they are robust, fair, explainable, and aligned with applicable regulations.
- Engage with a diverse array of use cases, improving technical expertise across the LBG modelling landscape and throughout the entire model lifecycle.
- 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 outputs.
- Raise validation challenges/findings to owners 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 remain aligned with the evolving AI landscape.
Qualifications
- 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 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 the ability to convey quantitative concepts clearly to non‑technical customers.
- Ability to work proactively and independently, manage time effectively, and deliver high‑quality outputs within timelines.
- Plus: Proficiency in Python programming and experience with 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, BigQuery, Azure AI, or similar enterprise‑level AI deployment environments.
- Experience or knowledge of regulatory requirements relevant to AI, such as the EU AI Act, GDPR, SS1/23, and best practice in AI ethics and governance.
Benefits
- Generous pension contribution up to 15%
- Annual performance‑related bonus
- Share schemes including free shares
- 28 days’ holiday plus bank holidays
- Wellbeing initiatives
- Generous parental leave policies
We are committed to creating an inclusive workplace that welcomes diversity, equity, and inclusion, and we are a Disability Confident Leader guaranteeing interviews for capable candidates with disabilities or long‑term health conditions.
Assistant Manager, AI Independent Validation (Model Risk Office) in Halifax employer: Lloyds Bank plc
As an Assistant Manager in the AI Independent Validation team, you will thrive in a dynamic and inclusive work environment that prioritises employee growth and well-being. With generous benefits such as a robust pension scheme, performance-related bonuses, and a commitment to diversity, you will be empowered to develop your skills while contributing to cutting-edge AI model validation in Halifax, Edinburgh, or Leeds. Join us to engage with innovative technologies and make a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager, AI Independent Validation (Model Risk Office) in Halifax
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI validation. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your Python skills and any relevant projects you've worked on. Bring examples of your work or even a portfolio if you can. It’s all about proving you’ve got what it takes!
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how you can relate your experience to the responsibilities listed in the job description. And remember, it’s not just about what you say, but how you say it—confidence is key!
✨Apply Through Us!
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get that application in!
We think you need these skills to ace Assistant Manager, AI Independent Validation (Model Risk Office) in Halifax
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Assistant Manager role. Highlight your experience in AI model validation and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and any AI frameworks you’ve used. If you’ve got hands-on experience with GCP or similar platforms, let us know! We love seeing candidates who can hit the ground running.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and achievements. Remember, we appreciate good communication skills, especially when conveying complex concepts!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Lloyds Bank plc
✨Know Your AI Models Inside Out
Make sure you’re well-versed in the AI and GenAI models relevant to the role. Brush up on their validation processes, regulatory requirements, and how they align with industry standards. Being able to discuss specific models and their applications will show your expertise and enthusiasm.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and any AI frameworks you’ve worked with, like TensorFlow or PyTorch. Bring examples of past projects where you’ve developed or validated models, and be ready to explain your thought process and the outcomes.
✨Communicate Clearly and Confidently
Since you'll need to convey complex concepts to non-technical stakeholders, practice explaining your work in simple terms. Use clear, concise language and avoid jargon when possible. This will highlight your communication skills and ability to engage with diverse audiences.
✨Stay Updated on AI Trends
Familiarise yourself with the latest trends in AI technologies and regulatory changes. Be prepared to discuss how these developments could impact the role and the organisation. Showing that you’re proactive about staying informed will impress your interviewers.
