Welcome to the Paragon resources hub
Here you’ll find a collection of useful materials on the techniques and considerations when it comes to developing, implementing, using and managing credit risk models, as well as the latest Paragon opinion and industry developments.
Do you have the right tools for the job?
A recent McKinsey report highlighted some of the challenges that organisations are facing as they manage their model portfolios.
Paragon Sponsor Credit Scoring Conference
Paragon Business Solutions will proudly sponsor the Gala dinner at the University of Edinburgh Credit Research Centre’s Credit Scoring and Credit Control Conference
Predictive modelling – are your models degrading and under-performing because of data pitfalls?
Introducing Focus for model risk management
Our Focus solution enables strong Model Risk Management. Take a look at our new animated video to see how Focus minimises model related issues and enables the implementation and use of sound, robust and value-add analytic models across your organisation. Find and play the video here
The UK is in a Cost of Living Crisis - how Open Banking can help
Open Banking data is a powerful lens into a customer's financial health. By using this very granular income and expenditure data, organisations can better highlight choices and options the customer may not be aware of. Lenders that automate the use of this data will be at a distinct advantage, benefitting both them and their customers.
Model Risk Management - focus on the benefits not just compliance
Model Risk Management (MRM) is the practice of identifying and mitigating the potential of model error or wrongful model usage. Where models are used by organisations to make or inform decisions, many industry regulators are demanding effective MRM practices to protect organisations, and their customers, prospects and partners.
Paragon has a new look!
We’ve got a new website and a new look! Find out more about why we’re the credit expert’s choice.
Paragon launches new model risk management tool Focus
Today, we announce the launch of new regtech product, Focus. Focus is a single, central tool for model risk management, designed to improve the governance, transparency, efficiency and effectiveness of all models.
Machine Learning: Five guiding principles in credit risk modelling
The interest in using Machine Learning (ML) for credit risk modelling continues apace. In this post, we explore what’s driving this and five ways to make adopting ML models a reality.
What do credit risk modelling and F1 have in common?
A light-hearted look at how F1 factors such as fuel mix, tyres, cockpit information, reliability, driver skills and safety compare with assessing whether to use machine learning or traditional logistic regression models in credit risk.
The Paragon Award 2021
The Paragon Award has been given to the best paper at the University of Edinburgh Credit Research Centre’s Credit Scoring and Credit Control Conference since 2001. Find out who won in 2021 and why.
In a world of machine learning, is champion / challenger decision testing dead?
How do we ensure the better scores available from machine learning models become better decisions, when actions change the outcomes you are trying to predict? Mark Thompson argues that how you use machine learning models and test their outcomes is critically important.
Using open banking data throughout the credit lifecycle
How can open banking data enhance or even transform credit risk management, from application processing to credit management, debt recovery and fraud risk?
Data selection bias - can it be a matter of life or death?
Data gets used to create models, that get used to make decisions, such as whether an application is accepted or rejected, how much someone can borrow, for how long and at what price. Or what to sell, which transactions to authorise, whether to increase or decrease limits, how and when to chase payments and more.
With bad decisions having a profound effect on lender and customer, how does data selection bias impact the modelling that drives those decisions?
Paragon: the credit expert’s choice
“We get value from Modeller due to its efficiency, time saving and auditing features.”
CARLIEN KRUGER, SENIOR MODELLER, WESTPAC
Find out why credit risk analytics experts choose Paragon software.
Our software
Whether you’re building and deploying models, automating decisions or managing model risk and governance, Paragon’s software comes with our no compromise, valued engineering built in.