At a Glance
- Tasks: Join a dynamic AI team to validate and analyse innovative models.
- Company: Lloyds Banking Group, committed to diversity and inclusion.
- Benefits: Generous pension, performance bonuses, flexible working, and 28 days holiday.
- Other info: Opportunities for personal growth in a supportive and inclusive environment.
- 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 Range: £57,150 - £63,500
We support flexible working – click here for more information on flexible working options.
Flexible Working Options: Hybrid Working, Job Share
Location(s): Halifax, Edinburgh 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.
An excellent opportunity for a highly motivated candidate to join the newly established Markets & AI Modelling team within the Model Risk Office (MRO) at Lloyds Banking Group. This role offers an exciting opportunity to be part of a dynamic and evolving AI team, providing considerable scope for personal and professional development.
Our Purpose: Better Models, Better Decisions, Better Outcomes.
Some of the activities you'll be involved in:
- Join a dedicated team responsible for the independent review, analysis and validation of AI/GenAI models, empowering the Bank to embrace innovative technology while efficiently handling associated risks.
- 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 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 are aligned with the evolving AI landscape.
Why join us?
Join us and, give us your best and we’ll give you ours. Here, you’ll make a difference to customers, you’ll enjoy a fulfilling career where you’re free to be yourself. Great colleagues, amazing workspaces, hybrid working and huge career opportunities—you’ll find them all here.
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: 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 provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. 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.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
Assistant Manager, AI Independent Validation (Model Risk Office) in Edinburgh employer: Lloyds Bank
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment that fosters personal and professional growth within the AI Modelling team. With a strong commitment to diversity, equity, and inclusion, employees benefit from flexible working arrangements, a generous benefits package, and numerous opportunities for career advancement in a supportive culture that values innovation and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant Manager, AI Independent Validation (Model Risk Office) in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing the Assistant Manager role. Personal connections can give us insights that job descriptions just can't.
✨Tip Number 2
Prepare for the interview by diving deep into AI models and their validation processes. Brush up on your Python skills and be ready to discuss how you would tackle real-world challenges in model risk. We want to see your passion and expertise shine through!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Think of examples from your past work where you tackled complex issues, especially in AI or quantitative roles. We love candidates who can think critically and communicate their thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our team at Lloyds Banking Group.
We think you need these skills to ace Assistant Manager, AI Independent Validation (Model Risk Office) in Edinburgh
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 skills that match the job description. We want to see how you fit into our team!
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! Use specific examples from your past work or projects that showcase your analytical and problem-solving skills. This is your chance to shine, so let us know what you can bring to the table.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate well-structured applications that communicate your ideas effectively, especially when discussing complex topics like AI.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Lloyds Bank
✨Know Your AI Models
Before the interview, brush up on your knowledge of AI and GenAI models. Be prepared to discuss specific models you've worked with, their validation processes, and how they align with regulatory requirements. This will show your expertise and enthusiasm for the role.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant frameworks like TensorFlow or PyTorch. Bring examples of your past work or projects that demonstrate your technical abilities, especially those involving quantitative analysis or model development.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. Since you'll be communicating with non-technical stakeholders, being able to articulate your thoughts clearly will set you apart. Consider using analogies or real-world examples to make your points relatable.
✨Engage with Current Trends
Stay updated on the latest trends in AI technologies and regulatory changes. During the interview, mention any recent developments you've followed and how they could impact the role. This shows your proactive approach and genuine interest in the field.
