Enhancing risk management models to make more credit available

Enhancing risk management models to make more credit available

Logical Glue’s platform allows easy building, validation and deployment of cutting-edge machine learning models, without requiring long development cycles or advanced data-science expertise.

Models were built using PayBreak’s data and integrated into their credit decision process via an API to improve accuracy and provide greater customer insight.

 

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consumer credit card data to enable accurate lending predictions

consumer credit card data to enable accurate lending predictions

Given the recent economic turmoil resulting from the banking crisis, consumer credit lending decisions have come to the fore of the consciousness of both lenders and the public. Companies are coming under pressure and looking carefully at approaches to credit rating in order to make improvement.

For companies who work within or with credit scoring, some questions remain key for each new approach suggested. This case study helps to answer some of these questions.

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Using machine learning to increase your credit scoring function

Using machine learning to increase your credit scoring function

Fast and accurate credit scoring can make or break the profitability of any lending product. Aside from marketing the product successfully and positioning it competitively, the key to increasing profitability is to have the most accurate reading on the credit risk represented by each applicant. Relying on traditional credit scoring methodologies, with their inherent inaccuracies, will soon become a key competitive weakness for many lenders.

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Using machine learning to detect and reduce fraud

Using machine learning to detect and reduce fraud

Traditional data modelling and analytics can only track historic behaviours and has difficulty identifying the ways fraudulent activity develops and changes. Machine learning can be used to create ‘data detectives’ to spot patterns that are not obvious to humans or traditional models.

Engaging these processes ensures that trustworthy customers are processed quickly and efficiently. However machine learning goes further, by highlighting the reasons and drivers behind fraudulent applications.

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How your credit scoring function will benefit from Machine Learning

How your credit scoring function will benefit from Machine Learning

Logical Glue’s MLaaS Credit Scoring is a solution that delivers business ready, predictive models in a matter of weeks.

Logical Glue’s modern, highly intuitive cloud-based platform, which is both capital light and provides unrivalled time to value has been specifically designed for the Lending marketplace.

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Machine learning for risk based pricing

Machine learning for risk based pricing

Beyond credit adjudication, that is determining an individual probability of default, running a profitable loan book requires an accurate understanding of the relationship between default risk and return. This means that lenders also need to know, with confidence, not only which applicants to reject but also at what price applicants should be accepted at. Machine leaning acts as a natural extension to credit scoring.

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Logical Glue’s team of highly experienced machine learning experts can help you to harness the explosive power behind XAI and Data Science. Our cost-effective solution provides business-critical assurance through our expert marrying of cloud-based machine learning, data science and lending acumen as an intuitive learning experience.

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