Risk Manager Lead (AI Validation)

at  Nationwide

There is greater demand and scrutiny on models than ever before in financial services. AI models, in particular Generative AI models, have seen a surge in demand. As we deploy these models, it is essential that we do our best to protect our members from the magnified risks of AI and that we meet our regulatory requirements – independent model validation plays a key role in this.
The growing prominence of model risk management has led Nationwide to invest in the continuous improvement of our modelling capability, highlighting the value placed on advances in this area. As part of this investment, a fantastic opportunity has become available, and we are seeking a talented person to become a member of a vibrant team.
We are looking for a Risk Manager to join the team to support the independent model validation of AI models (including Generative AI models) and to work across functions to help evolve the AI governance process.
At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.
For this job you’ll spend at least two days per week, or if part time you’ll spend 40% of your working time, at either our, Swindon or London office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here.
If we receive a high volume of relevant applications, we may close the advert earlier than the advertised date, so please apply as soon as you can.

ABOUT YOU

To be successful in this role, you will:

• Have a strong understanding of AI models, including Generative AI models.
• Be familiar with the Bank of England’s MRM principles and best practices in model risk management.
• Know how to prepare large datasets for training and evaluation.
• Have experience and knowledge of techniques for evaluating and validating AI models.
• Have experience of building relationships and communicating with confidence, with the ability to build collaboration and effectively influence stakeholders.
• Have an attention to detail and the ability to manage multiple priorities in a fast-paced environment.
• Have the ability to present findings both verbally and through a written report and be able to translate your findings for non-technical stakeholders.

Our Customer First behaviours are all about putting customers and members at the heart of how we work together. You can strengthen your application by showing the behaviours that resonate with you, and how you might have already demonstrated these.

• Say it straight - This is about being honest and direct with good intent and saying what needs to be said in the room. It’s also about being clear, precise, and using language that we and, importantly, our customers and members can understand.
• Push for better - This is about aiming high and constantly looking for better in how we work together and serve our customers and members.
• Get it done - This is about prioritising what will have the greatest impact, being decisive and taking accountability for delivering on the end-to-end outcome.

We know applying for jobs can sometimes feel like you’re sending an application into a black hole. We review each application individually. So, it’s a good idea to call out your most relevant experience on your application to give yourself the best chance.

WHAT YOU’LL BE DOING

Validate AI models: You will be responsible for conducting thorough validations of AI models, ensuring compliance with the regulators’ MRM principles. This will involve assessing the accuracy, robustness and reliability of the models, as well as identifying and mitigating any potential risks.
Evolve the AI governance process: You will have the opportunity to contribute to the enhancement of our AI governance process. This will involve staying up to date with industry best practices and regulatory requirements, and proactively identifying areas for improvement. You will collaborate with cross-functional teams to implement changes and ensure the effective management of AI risks.
Manage the validation and annual review process: You will be responsible for managing the end-to-end validation and annual review process, from engaging with model developers to setting out pre-validation expectations. This will involve establishing clear communication channels and timelines, coordinating with stakeholders, and ensuring that all necessary documentation, data, code and approvals are obtained.

To be successful in this role, you will:

• Have a strong understanding of AI models, including Generative AI models.
• Be familiar with the Bank of England’s MRM principles and best practices in model risk management.
• Know how to prepare large datasets for training and evaluation.
• Have experience and knowledge of techniques for evaluating and validating AI models.
• Have experience of building relationships and communicating with confidence, with the ability to build collaboration and effectively influence stakeholders.
• Have an attention to detail and the ability to manage multiple priorities in a fast-paced environment.
• Have the ability to present findings both verbally and through a written report and be able to translate your findings for non-technical stakeholders