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How data and modelling can detect and prevent consumer vulnerability
Consumer Duty requires firms to consider the needs, characteristics, and objectives of their customers – including those in vulnerable circumstances. In this article, Nevan McBride, explains how to protect vulnerable customers and meet regulatory obligations using data and modelling.
Data Management: Meeting CP6/22 Model Risk Expectations
Data management specialist, Inderjit Mund, discusses the critical role of data in achieving the PRA's Model Risk Management (CP6/22) regulations and explains how you can optimise your data framework for model risk.
Celebrating 5 years of award-winning work at the Credit & Collections Technology Awards
At last week’s Credit & Collections Technology Awards, Jaywing won the award for ‘Customer engagement solution’ and secured a finalist spot in the ‘Machine learning in credit & collections solution’ category. This latest award represents 5 consecutive years of Jaywing winning at this prestigious event.
Starling Bank appoints Jaywing to build a robust IFRS 9 model framework for its CBILS
Streamlining commercial credit risk decisioning processes using Echelon
