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 moreBasel 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.
How PSPs can prepare for APP fraud reimbursement regulations
Explore upcoming APP fraud reimbursement regulations for PSPs, evolving fraudster tactics, and essential steps to protect vulnerable customers and ensure compliance.
New FCA PS24/3 requirements: what you need to know and how to prepare
Learn about FCA's new PS24/3 requirements for consumer credit firms. Discover key challenges, preparation steps, and how Jaywing can help ensure compliance.
PRA's latest guidance on IRB: Key takeaways for wholesale exposures
Explore the PRA's latest IRB guidance from the IRB wholesale roundtable. Unpack key takeaways on risk differentiation, calibration, and model complexity to enhance your regulatory compliance.
Model Risk Management in an AI-Driven World [SS1/23]
Nearly all AI-driven applications are based on a type of mathematic model - so it's unsurprising that AI-related risk and model-related risk are invariably linked. Examining the Bank of England's supervisory statement on model risk management, Steve Finlay unpacks how firms, in an AI-driven world, can respond to the five principles outlined.
