Nick Sime
Director of Fraud & Credit Risk 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.
14 lessons in predictive modelling to strengthen credit risk assessments
Read 14 lessons in predictive modelling to boost credit risk assessments, improve stability, and gain a competitive edge with advanced machine learning insights
AI vs traditional risk modelling: A comparative analysis
Explore how AI is transforming risk management. Compare traditional vs AI-based models and learn key implementation strategies for financial institutions.
Risk 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.
What's next in fraud?
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.
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?
What it means to be on the cutting edge of fraud technology
Discover how lenders can combat evolving fraud with AI and data science. Explore the rise of sophisticated fraudsters, synthetic identity fraud, and the AI software in the fight against this financial crime.
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.