Data science

Tom Davies CHAPS is a critical element of the UK’s payments landscape, handling 92% of UK payment values despite comprising 0.5% of volumes. CHAPS is used for high-value and time-critical payments, including money market and foreign exchange transactions, supplier payments, and house purchases. We forecast CHAPS volumes to help CHAPS participants in making staffing decisions … Continue reading Balancing complexity and performance in forecasting models: insights from CHAPS volume predictions →

Rhea Mirchandani and Steve Blaxland Supervisors are responsible for ensuring the safety and soundness of firms and avoiding their disorderly failure which has systemic consequences, while managing increasingly voluminous data submitted by them. To achieve this, they analyse metrics including capital, liquidity, and other risk exposures for these organisations. Sudden peaks or troughs in these … Continue reading Using causal inference for explainability enhancement in the financial sector →

James Duffy and James Sanders Understanding a payment’s journey around the globe can be difficult. As the operator of the UK’s high-value payment system (CHAPS), the Bank is all too familiar with this challenge. By leveraging the benefits of the newly introduced ISO 20022 standard for messaging, we have devised a new methodology to identify … Continue reading Payments without borders: using ISO 20022 to identify cross-border payments in CHAPS →

Itua Etiobhio, Riyad Khan and Steve Blaxland The volume of information available to supervisors from public sources has grown enormously over the past few years, including unstructured text data from traditional news outlets, news aggregators, and social media. This presents an opportunity to leverage the power of data science techniques to gain valuable insights. By … Continue reading Can data science capture key insights in news articles? →