MANAGING RISK IS A CONTINUOUS JOURNEY
Whether due to your own risk appetite, or in response to the increasing pace of regulatory change, managing risk is a continuous journey. We deliver best-in-class analytics and consulting to ensure organisations of all industries, sizes and complexities optimise profits and achieve regulatory compliance.
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Exploring Nationwide's ‘explainable’ AI-driven application scoring
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Transforming onboarding processes for Together
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Implementing Data Governance and Data Management for England’s Largest Specialist Housing and Care Provider
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Starling Bank appoints Jaywing to build a robust IFRS 9 model framework for its CBILS
Discover Archetype
Use explainable and controllable AI to generate models with greater accuracy, speed and precision than ever before.
Find out moreCredit 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.