Model Validation Manager

About this role

Hello, we’re Starling. We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,500 people across our London, Southampton, Cardiff and Manchester offices.

We are looking for a talented and passionate Model Validation Manager to join our Model Risk Oversight Team. Our team plays a critical role in validating and overseeing the risks associated with all models across Starling, particularly those involving AI and other advanced modeling techniques. If you have a background in model validation or development across a variety of models (especially within the AI/ML domain but ideally also covering more traditional models), and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As a Model Validation Manager, you will be responsible for: Act as a senior escalation point for complex validation challenges, fostering a culture of technical excellence and navigating difficult conversations with model developers and senior leadership to ensure robust risk management practices.

Supporting the validations of different types of models used across Starling, such as AI and ML models supporting our business operations, as well as more traditional models like IFRS 9, Forecasting, and Operational Risk. Playing a vital role in Model and AI risk governance framework development and enhancements. Producing and reviewing validation reports while engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines.

Leading on Risk Assurance reviews. Producing committee papers and presenting at committees. Presenting high-level validation findings to Senior leadership. Engaging and forming close relationships with the key stakeholders to enable good model risk management practices throughout the model lifecycle. This role will close at 12pm on Thursday 29th October. Requirements Graduate-level education is preferred, ideally in a numerical discipline (or equivalent work experience).