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 moreRisk Model Development – The Next Generation
With the use of AI/ML on the rise in the world of risk management, Nick Sime, Jaywing's Director of Fraud and Credit Risk Modelling, explores the key differences between the development of traditional models and these new data-driven powerhouses.
2024: What's next in Risk?
Sitting down with three risk and data science experts – Katie Stones, Nevan McBride, and Carl Ireland - we asked them to forecast the pivotal focuses for financial services organisations in 2024.
The Performance Stability of Advanced (AI/ML) Models VS Linear Models
Do advanced models provide a sustainable uplift over linear approaches or does performance degrade more rapidly and necessitate more frequent re-optimisation/redevelopment?
Celebrating 5 years of award-winning work at the Credit & Collections Technology Awards
At last week’s Credit & Collections Technology Awards, Jaywing won the award for ‘Customer engagement solution’ and secured a finalist spot in the ‘Machine learning in credit & collections solution’ category. This latest award represents 5 consecutive years of Jaywing winning at this prestigious event.
Improving and Evidencing Consumer Duty Outcomes with MI
Discover how Management Information (MI) can help financial services organisations deliver good customer outcomes and meet the FCA’s Consumer Duty requirements in this blog post by Karen Snape, Jaywing’s Analysis Director.
How data and modelling can detect and prevent consumer vulnerability
Consumer Duty requires firms to consider the needs, characteristics, and objectives of their customers – including those in vulnerable circumstances. In this article, Nevan McBride, explains how to protect vulnerable customers and meet regulatory obligations using data and modelling.
