At a Glance
- Tasks: Collaborate on AI tools and develop innovative validation frameworks.
- Company: Join a leading financial services firm focused on AI and model risk.
- Benefits: Generous pension, performance bonuses, flexible benefits, and 28 days' holiday.
- Other info: Inclusive workplace with excellent career growth and support for diverse needs.
- Why this job: Make impactful decisions with cutting-edge AI technology in a dynamic environment.
- Qualifications: Experience in AI model development or a relevant PhD; strong analytical skills required.
The predicted salary is between 57150 - 63500 € per year.
Location: Bristol, Cardiff, Halifax, Edinburgh or Leeds
Hours: Full-time
Working Pattern: Hybrid style: at least two days per week (≈40% of time) at one of our office sites. Workplace adjustments are available for colleagues with disabilities in line with our Flexibility Works policy.
Salary: £57,150 - £63,500
Purpose: Better Models, Better Decisions, Better Outcomes.
Responsibilities:
- Collaborate to develop tools for validation, testing, explainability, and monitoring.
- Support validation activities by developing prototype pipelines and frameworks for testing AI/GenAI models.
- Build and maintain reusable code libraries to automate model documentation, validation, and risk assessments.
- Drive technical innovation and continuous improvement of the validation tooling environment.
- Develop benchmark testing templates and reporting dashboards to streamline assurance across use cases.
- Monitor emerging technologies (e.g. LLMOps, RAG pipelines, agent toolkits) to future‑prove the validation and tooling landscape.
- Support knowledge sharing, collaboration and tooling governance across stakeholders.
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 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 the ability to communicate complex quantitative concepts clearly to non‑technical stakeholders.
- Ability to work proactively and independently, manage time effectively and deliver high‑quality outputs within tight timelines.
Desired Additional Experience:
- 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; basic UI/UX principles desirable.
- 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.
Benefits:
- Generous pension contribution of up to 15%.
- Annual performance‑related bonus.
- Share schemes including free shares.
- Benefits that 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.
Equal Opportunities: We are committed to creating an inclusive environment where everyone can thrive, learn and develop. We offer reasonable workplace adjustments for colleagues with disabilities, and as a Disability Confident Leader, we guarantee fair interviews for applicants with a disability, long‑term health or neurodivergent condition through the Disability Confident Scheme. We also provide adjustments throughout the recruitment process to reduce or remove barriers.
Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office in Halifax employer: Lloyds Banking Group
As a leading employer in the financial services sector, we offer a dynamic work environment in locations such as Bristol, Cardiff, Halifax, Edinburgh, and Leeds, where innovation meets inclusivity. Our commitment to employee growth is reflected in our generous benefits package, including a substantial pension contribution, performance-related bonuses, and a focus on wellbeing initiatives. Join us to collaborate on cutting-edge AI modelling tools while enjoying a flexible hybrid working pattern that supports work-life balance and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office in Halifax
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI modelling and validation. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in AI and model risk. Practice explaining complex concepts in simple terms – it’ll impress those non-technical stakeholders!
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Markets & AI Modelling Tech and Tooling Assistant Manager - Model Risk Office in Halifax
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience in AI model development and validation, and show how your skills align with what we're looking for. We want to see how you can contribute to our mission of better models and better decisions!
Showcase Your Skills:Don’t just list your qualifications; demonstrate them! Use specific examples from your past work that showcase your analytical skills and problem-solving abilities. If you've worked with Python or AI frameworks, let us know how you used them to achieve results.
Communicate Clearly:Remember, we value clear communication! When writing your application, aim to explain complex concepts in a way that's easy to understand. This is especially important since you'll be working with non-technical stakeholders, so show us you can bridge that gap.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the AI frameworks and tools mentioned in the job description, like Python, PyTorch, and TensorFlow. Brush up on your knowledge of GenAI techniques and cloud platforms too. Being able to discuss these confidently will show that you're not just familiar with the tech, but that you can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex problems, especially in model validation or development. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your analytical skills and how you approach challenges in a quantitative role.
✨Communicate Clearly and Effectively
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Think about how you would describe a complicated model or tool to someone without a technical background. Clear communication is key, so consider doing mock interviews with friends or colleagues to refine this skill.
✨Stay Updated on Industry Trends
Familiarise yourself with emerging technologies and regulatory frameworks relevant to AI, such as the EU AI Act and GDPR. Being knowledgeable about current trends will not only impress your interviewers but also show that you’re proactive about continuous learning and improvement in the field.
