Jaywing plc is an AIM listed company operating in the UK and Australia. Our risk consulting function is part of Jaywing's wider agency business, which specialises in delivering science-powered creative and media services.
Founded in 1999, Jaywing's heritage is in risk consulting, delivering data analysis skills to the financial services industry for over 20 years. Our experienced team of specialists is more than 50 strong, with a depth of expertise unrivalled by any other provider.
We have supported most of the UK’s leading lenders to increase profitability, gain regulatory compliance, or improve the way they use data to make decisions.
Through our expertise in data and analytics, we build models and deliver insight for both large and small organisations. Our collaborative approach ensures our projects deliver true value for our clients.
We have a wealth of experience in the financial services sector, working within both consumer and commercial portfolios, creating pragmatic solutions that are easily understood, implemented, and executed.
Our expertise encompasses banking regulations such as IFRS 9, Stress Testing, ICAAP, ILAAP, Risk Appetite, Basel Regulations, Fraud prevention and IRB. We also help organisations align their risk strategy, pricing, and collections optimisation to help increase profitability. We have recently added Artificial Intelligence to our skillsets.
Jaywing is full of the right blend of specialists – senior people with the skills and credentials you won’t find elsewhere. We set the bar high for recruitment to ensure we hire the finest financial services minds and have unrivalled retention rates due to putting our people at the heart of the business.
Every year we deliver our services to our loyal clients (many have been with us in excess of 10 years) and new clients alike.
We have supported over 25 lenders in the UK with risk projects including Lloyds Banking Group, HSBC, Royal Bank of Scotland, Nationwide, Secure Trust Bank, Shawbrook Bank, Atom Bank & Paragon Bank. We are also a leading supplier of services to a large number of leading building societies including Coventry, Skipton, West Bromwich, Newcastle and Nottingham.
We're delighted to announce that UK-based direct lender, Everyday Loans, is undertaking a new project with Jaywing's risk and data science experts to optimise its processes using Archetype, our award-winning AI technology.
In a recent webinar, Jaywing’s Dr Steve Finlay and Deep Future Analytics’ Dr Joe Breeden, were joined by host Lydia Edwards to explore the ever-evolving landscape of artificial intelligence and machine learning applications in the financial sector. Catch-up on the webinar that was attending by over 70 guests from prominent UK financial organisations.
To combat the escalating threat of retail fraud, risk and data science consultancy, Jaywing, has appointed Ben Archer as Lead Consultant. Discover more about Ben and his extensive knowledge across all aspects of fraud.
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.
Jaywing’s AI modelling platform, Archetype, has won the award for Anti-Fraud Solution at the Credit & Collections Technology Awards with Virgin Money. With over 30 successful projects and several award wins for its credit scoring work, Archetype has been transforming Jaywing’s client risk modelling for over 3 years.
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.
As the end of 2023 approaches, experts Nick Sime and Ben O’Brien share their predictive lens, offering insights into the future landscape of fraud and its detection.
As we reflect on the progress of 2023 and gaze into the future of 2024, the potential for AI's impact, especially in financial services and credit risk management, is immense.
The pressure on the housing sector to improve tenant well-being, specifically in repairs and maintenance, is unprecedented, despite rent increase caps and rising material/labour costs. In this article, Steve Finlay explores the untapped potential in AI technologies, particularly in predictive maintenance, that could transform the sector.
