While electronic trading, technology and related infrastructures are now a well-established part of highly-liquid markets, the rate of adoption has been markedly slower in the commodities space. But the past year has seen a notable upturn in demand - find out about the drivers behind this change.
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?