Ex-JP Morgan Trader Tackles Complex Computing with New Programming Language
Concurnas founder says his language will help traders work more easily with concurrent computing and offer a Python-like syntax with Java-scale performance.
Jason Tatton, formerly an algorithmic trader at JP Morgan, has built a new programming language called Concurnas that he says can help the financial services industry tackle common problems with concurrent programming, and having to switch between languages when moving from building to implementing a trading model.
Concurrent computing is a complex process in which multiple operations are being run at the same time. In a banking environment, this approach is often used to build trading systems
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