Introducing the experts
Meet the credit, fraud, data and analytics specialists behind Jaywing’s award-winning work.
The Mills Review: a smart long-term plan with a near-term problem
The FCA's Mills Review plans for 2030. For model risk and credit risk teams, here's what it leaves open and what to start now.
Are fraud controls becoming unsustainable?
Fraud volumes are rising. Investigative capacity isn't. Here's why rules engines drift toward unsustainability, and what the data says about where to focus.
How to choose a risk modelling partner
Choosing a credit risk modelling partner? Learn what to look for, the questions to ask, common pitfalls to avoid and how to assess modelling consultancies with confidence.
Credit risk modelling statistics 2026: What risk managers need to know
Here is what the data shows and what it means for credit risk modelling decisions in 2026.
Fraud contamination in credit risk models: why portfolios stop behaving as expected
Fraud losses hiding inside credit risk models corrupt training data for years. Here's what a retrospective audit catches that backtesting can't.
FCA CP 26/7 and CRA reform: How will it impact credit risk models
CP26/7 makes multi-bureau credit reporting mandatory. Here's what credit risk teams should check now, before it changes who your models approve and decline.
15 mins with…Sally Felton. Lessons learned from 30 years in fraud risk
In this interview, we asked Sally what 30 years have taught her about where firms are still exposed. Here are her top six lessons.
Modernising regulated analytics (without rebuilding legacy controls)
Why analytics modernisation stalls when governance stays the same in regulated financial services.