Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team in validating Machine Learning/AI models and report findings.
- Company: Join a leading challenger bank focused on innovative financial solutions.
- Benefits: Enjoy flexible working options and the chance to work from various locations.
- Why this job: Shape the future of model validation in a dynamic banking environment.
- Qualifications: Experience in model validation and strong analytical skills required.
- Other info: Permanent role with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
InterQuest is currently supporting a leading challenger bank in identifying a Model Validation Manager to join the model risk management function and lead the validation of models across the bank.
This exciting opportunity focuses on Machine Learning/AI models alongside others, providing an opportunity to shape how the bank validates models.
Position Details:
- This is a permanent role with excellent working flexibility and options to work from London, North West, or South West.
Day-to-Day Responsibilities:
- Leading a team across model validation.
- Collaborating with stakeholders and the wider team to gather MI and report on validation findings.
Candidate Requirements:
To be considered, you would need...
Model Validation Manager employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Model Validation Manager
✨Tip Number 1
Familiarise yourself with the latest trends in Machine Learning and AI, as these are key components of the role. Being able to discuss recent advancements or case studies during your interview will demonstrate your passion and expertise.
✨Tip Number 2
Network with professionals in the banking and model validation sectors. Attend relevant conferences or webinars to connect with industry experts, which can provide insights and potentially lead to referrals for the position.
✨Tip Number 3
Prepare to showcase your leadership skills, as this role involves managing a team. Think of examples from your past experiences where you successfully led a project or team, and be ready to discuss these in detail.
✨Tip Number 4
Research the specific models used by the bank and understand their validation processes. This knowledge will not only help you in interviews but also show your genuine interest in the role and the organisation.
We think you need these skills to ace Model Validation Manager
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Model Validation Manager position. Highlight your experience with Machine Learning/AI models in your application.
Tailor Your CV: Customise your CV to reflect relevant skills and experiences that align with the role. Emphasise your leadership experience in model validation and any collaboration with stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for model risk management and your vision for validating models in a banking context. Mention specific examples of your past work that relate to the job.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects attention to detail, which is crucial for a role in model validation.
How to prepare for a job interview at JR United Kingdom
✨Understand the Role
Make sure you have a clear understanding of what a Model Validation Manager does, especially in the context of Machine Learning and AI models. Familiarise yourself with the specific responsibilities mentioned in the job description, as this will help you tailor your answers during the interview.
✨Showcase Your Leadership Skills
Since the role involves leading a team, be prepared to discuss your leadership style and experiences. Think of examples where you've successfully managed a team or project, and how you handled challenges. This will demonstrate your capability to lead effectively.
✨Prepare for Technical Questions
Expect to face technical questions related to model validation, risk management, and the specific methodologies used in Machine Learning. Brush up on relevant concepts and be ready to explain your thought process when validating models.
✨Engage with Stakeholders
Collaboration is key in this role. Be ready to discuss how you’ve worked with various stakeholders in the past. Highlight your communication skills and provide examples of how you gathered insights and reported findings effectively.
