Nick Sime
Head of Modelling
Nick, with 30+ years of experience in the industry, is one of the UK’s leading risk strategy experts.
Nick’s expertise is in predictive modelling and has presided over many scorecard developments, primarily in the areas of credit and fraud risk, and has also delivered multiple credit strategy reviews.
More recently, Nick efforts have focused on exploiting the power Archetype, our AI-based modelling tool, delivering consistent and impressive benefits over traditional models.
With over 20 years of service at Jaywing, Nick has worked with many clients including Secure Trust Bank, Virgin Money, and Chetwood.
Prior to this, he worked at first direct and HSBC.
How to put customers at the forefront of your fraud strategy
As customers continue to demand simple, frictionless experiences and digital banking becomes the norm, how can lenders provide excellent customer journeys whilst mitigating fraud?
The Changing Landscape of Application Fraud Detection
Reflecting on the evolution of these models and the rapid adoption of AI/ML-based approaches over the past couple of years, Nick outlines fraud’s changing landscape and highlights some key areas of focus for financial institutions.
From basic scorecards to AI-based models: Get your model monitoring future-ready
Jaywing’s Head of Modelling, Nick Sime, provides best practice advice on how to advance your model monitoring activity using AI.
Model monitoring for Machine Learning models
ML models drive significant business benefit but need to be fit for a non-linear world. We discuss the key points to consider when monitoring models.
Webinar recap: Applying deep learning to credit scoring
In this write-up of our recent webinar with UK Finance, we share learnings from work we have done with over 20 UK lenders.
Fairness in AI: applying deep learning to credit scoring
As Artificial Intelligence (AI) becomes more widely used in our everyday lives to make key decisions, from making recommendations of parole decisions of prisoners to making lending decisions, ensuring fairness in AI is paramount.
Three ways to tackle application fraud now
Find out how lenders can tackle application fraud through data sharing and collaboration with your peers.
How Jaywing's free syndicate and AI-powered modelling combats fraud
Join the free syndicate to tackle the rise in fraud with better insight and analytics.
Controlling and explaining a neural network
Learn how you can solve the black box problem and use Artificial Intelligence for quicker and better credit risk assessments.