High frequency trading is becoming much more intense as financial services companies compete on latency, performance and analytical complexity. High frequency, algorithmic and quantitative trading is becoming the norm. At the same time, transactional-level compliance and risk management controls must be in place. Financial services firms now face unprecedented and growing technical challenges as a result of these requirements.
In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading. You will learn how to leverage in-memory computing to solve high frequency trading challenges and how GridGain and Apache® Ignite™ can address your specific needs. Eric Karpman is a 30-year veteran of the financial services industry
Sign up for the free insideBIGDATA newsletter.