Discussion into possible use cases for deep learning within financial services, particularly in risk and investment management, as well as the challenges that arise from an infrastructure and data storage perspective.
When it comes to technology solutions for trading infrastructure, the build versus buy debate is one that never seems to go away. In the past, it was fairly common practice for banks and electronic trading firms to want to build and to run everything themselves. But more recently, there seems to be a definite trend […]
Many middle-office systems at banks and brokers still rely on a mishmash of spreadsheets and legacy systems, some of which have been in need of modernisation for years. How can firms embrace technology to improve efficiency and reduce costs in this area?
This article investigates the increasingly popular development method of DevOps, focusing specifically on what kinds of organisational and cultural changes are involved in a successful transition that will deliver real benefits.
The trend of financial firms – on both the sell side and the buy side – outsourcing their trading infrastructure to specialist providers at co-located data centres. The prospect of outsourcing such a vital part of a trading firm’s operations has enormous implications, from cost to performance to business models.