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, Data science,
Our hypothesis is that bad data is a symptom of poor organisational design; by implication, the by-product of a well-designed organisation will be normalised…
Read moreQuantitative algorithmic and financial engineering,
There is a well-known philosophy adage that states all idealism ends in tyranny. On reflection it seems the financial world is no exception – the idealism in…
Read moreCloud engineering, Business process engineering and data organisation, Data science,
Big data is not a solution in itself; it’s a process accelerator – as is the case with most technologies.
Read moreWhile the final details and rules of FRTB are not yet finalised, much of the architectural and procedural impact can be assessed.
Read moreBusiness process engineering and data organisation, Data science,
BCBS 239 is an unfashionable regulation. There are no calculation changes. No (clear) impact to capital charges. No specified new reports, no defined penalties…
Read moreDigital ledger,
Blockchain, the transaction ledger and associated open source protocol behind the digital currency Bitcoin, is gathering momentum. Riskcare takes a quick look…
Read moreQuantitative algorithmic and financial engineering, Cloud engineering, Business process engineering and data organisation,
Models are evolving from a cottage industry ecosystem into a large scale production line, where regulatory compliance and time-to-market for new models is the…
Read moreVisualised digital strategy,
Strategic change: UI legacy trade capture systems integration.
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