ironquill.tech/board

$ cat jobs/fincrime-and-fraud-model-validator-monzo-ac5e9c829df2.json

Fincrime and Fraud Model Validator

monzo·UK·United Kingdom·mid
Apply on himalayas → Get AI match score →
🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ London/UK Remote | 💰£71,400 - £90,000 (depending on experience) + Incentive Awards tied to your performance + Benefits ✨ ⭐Our Model Oversight team The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Finance and Operations to help Monzo grow safely. We’re looking for a FinCrime Model Validation Manager to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers. 🔑You’ll play a key role by... Build relationships with first line of defence Fincrime/Fraud modelling teams and wider risk teams to support the embedding of the model risk framework and an understanding of model validation practices to help Monzo grow safely. Perform independent model validations of FinCrime/Fraud models using proportionate modelling techniques depending on the level of complexity applied. Write clear and impactful model validation reports and present the findings in relevant committees. Review ongoing model performance monitoring to ensure the FinCrime/Fraud models are performing within risk thresholds and providing support to the FinCrime/Fraud model development t