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 moreNo-code AI in risk: can it deliver on its promise?
How leading banks achieve success with no-code AI for risk analytics: from faster fraud detection to improved customer insights – real results beyond the numbers.
Jaywing strengthens risk leadership team with three strategic appointments
We're delighted to announce the appointment of three senior industry experts to expand our capabilities and accelerate growth across key markets.
Doubling-down in 2025: Priorities and trends in risk
2025 is here, and the priorities for risk are clearer than ever. As economic pressures, regulatory demands, and technological advancements intensify, clients are sharpening their focus on strategies that deliver measurable outcomes.
15 Minutes With... David Northen, Risk Transformation Lead
Jaywing's Risk Transformation Lead David Northen shares practical insights on proactive risk frameworks, model validation and AI adoption for financial services in 2025.
Basel 3.1: Analysing the PRA's PS9/24 ruleset and its impact on banks
Analysis of the PRA's PS9/24 on Basel 3.1 implementation in UK banking. Key changes, impacts, and next steps for firms to prepare for the 2026 deadline.
AI risk modelling: Regulatory compliance and ethical considerations
Understand the key regulatory considerations and ethics when leveraging AI for risk modelling.
