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,
How should large financial institutions attribute profit and loss (P&L) and how does this map to your organisation?
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Business process engineering and data organisation,
James Clash explores the shift from strategic technology-tied projects to a focus on organisational agility.
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Quantitative algorithmic and financial engineering, Data science,
Abstract. We propose a Traffic Light approach to backtesting Expected Shortfall which is completely consistent with, and analogous to, the Traffic Light…
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Cloud engineering, Business process engineering and data organisation,
Regulators may demand operational risk oversight of cloud operators to satisfy cyber risk concerns.
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Services,
Attitudes around bank’s spending on professional services have changed in recent years. Jason McIntosh examines how internal Procurement can up its role as a…
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Cloud engineering, Data science,
Clients with a continuous, large stream of data coming in that needs to be processed really quickly and must always be up – regardless of hardware reliability…
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Got the hang of Angular 2 yet? Angular 4 was released in March and a new version will follow every six months thereafter. It’s not necessarily bad news…
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Machine learning and AI,
Increased use of machine learning is an inevitable trend. Riskcare’s CTO Chris Sawyer explores the potential of this fascinating computer science area. Photo…
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