The opportunity
🚀 We’re on a mission to make money work for everyone.
What you'll do
Leading hands-on independent validation of models used for credit decisioning: within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected
Supporting oversight and validation of broader credit risk models, including: IFRS9, stress testing and economic response models
Developing deep understanding of Monzo’s credit models, and using this to: provide impactful input and challenge to model developers to improve our modelling capabilities
Reviewing ongoing model performance monitoring to ensure our lending models: perform within our risk thresholds, and providing support to our first line of defence teams when action is required
Performing statistical analyses to independently assess model performance,: including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions
Improving our Model Risk Framework, including overseeing our policies,: standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve
What they're looking for
- Writing clear and impactful model validation reports, and presenting the: findings and actions in relevant committees
- Partnering with colleagues in the first line of defence credit strategy and: modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation
- Embracing new and innovative technology, including leading the adoption of AI: tools to enhance our model validation approach
- Have a strong background and practical experience in credit model development: and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling
