NYSE Technologies, the global commercial technology unit of exchange operator NYSE Euronext, is working with Singapore Management University (SMU) on its Master of IT in Business (Financial Services) programme, to build educational labs for hands-on learning experiences with trading processes and technologies.
NYSE Technologies, which supplies its Universal Trading Platform (UTP) trading system to the Warsaw Stock Exchange and Qatar Exchange in addition to NYSE Euronext's markets, will allow students access to much of its product portfolio, including its market data feed handlers, data fabric middleware and other core infrastructure solutions such as its Risk Management Gateway and FIX engines.
Students of SMU's Master of IT in Business (Financial Services) programme will be trained in designing, using and managing the technology infrastructure that powers trading across numerous global financial markets and stock exchanges.
The importance and vulnerability of trading infrastructure has been highlighted by a series of breakdowns over the last year, which led UK regulator the Financial Services Authority to outline new procedures for dealing with outages in September 2010.
Professor Steven Miller, dean of the SMU School of Information Systems, said, “Information technology is the key to realising service improvements, process innovations and productivity enhancements in the world of financial markets and exchanges. This enables us to better prepare technology and operations professionals to manage innovation and transformation initiatives across global financial markets.”
On 24 November 2010 the Chinese University of Hong Kong (CUHK) opened a trading laboratory with solutions provider RTS Realtime Systems Group as its main supplier of low-latency and algorithmic trading technology. The facilities will be used by students that expect to work as traders, risk managers and compliance officers in the Chinese and Asia-Pacific financial markets.
RTS also supplied the technology for a two-day algorithmic trading course run on 9 October 2010 at the NTU-SGX Centre for Financial Education, one section of an initiative led by the Nanyang Business School, part of Singapore’s Nanyang Technological University and the Singapore Exchange. The first module taught students how algorithms were used to make trading decisions, while the second and third modules, which will be completed by the end of Q1 2011, tackle the technical aspects of programming of trading algorithms.
Depending on the course’s initial success in may be run again in the future or repackaged specifically for firms.