Research
Our research develops practical insights and tools that apply our expertise and technology to prevailing industry challenges. We hope this is useful, and please reach out to us if you would like to explore these topics any further.
Business process engineering and data organisation,
Design rules for workflow, operating models, architectures are very effective at building consensus and are becoming increasingly useful tools. Here we…
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Cloud engineering, Technology re-platforming, Data science,
The open source big data processing framework Apache Spark has become the one-size-fits-all solution for big data and big calc problems. Chris Sawyer offers an…
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Big data and anonymity are becoming increasingly pertinent issues. Chris Sawyer takes a look at the growing grey areas between technological advancements and…
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Quantitative algorithmic and financial engineering, Business process engineering and data organisation, Technology re-platforming,
Model inventory as an enterprise enabler. ‘The aim is to help organisations lower cost while identifying and eliminating model risk throughout the lifecycle,…
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Quantitative algorithmic and financial engineering,
Industry speakers shared practical advice on SIMM, dynamic margin modelling and the challenges of delivering ever greater numbers of XVA calculations.
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Business process engineering and data organisation, Data science,
The convergence of new businesses models, new technologies and new regulations are giving many capital markets firms the impetus they need to resolve structural…
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Business process engineering and data organisation, Data science,
Improvements to business process can deliver high-quality enterprise-wide data. The following five tests can improve your processes – the results of which could…
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The 2016 EU-wide stress test was just launched by the European Banking Association. Reduced in scope and now conducted on a consultation basis, Jason McIntosh…
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