Leveraging Big Data in Market Surveillance
Modern market surveillance applications process billions of transactions in real-time every business day. The current trend is that new regulatory and compliance requirements result in market data sets getting larger and an increasing need to process data from longer time periods.
In recent years a number of Big Data tools have arisen to handle these massive quantities of data. The tools parallelize large data sets across shared clusters built on low-cost commodity hardware and provide easy scaling while dramatically reducing hardware costs.
Attached is a white paper written by Scila discussing the application of Big Data tools and standards for market surveillance purposes.
Fredrik Lydén, CTO at Scila and the co-author of the paper is very pleased with the result. “We are continuously evaluating various techniques as complement to traditional methods for detecting financial market anomalies. Big Data technologies combined with cloud technologies offer new interesting possibilities for data mining.”
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About Scila AB Scila is a FinTech company based in Stockholm, Sweden, but we act globally. Scila provides trading surveillance products built on many years of experience from both market surveillance and systems design. Scila systems use modern technology to give the customer a seamless route from detection of market abuse to presentable evidence. Scila delivers the future in modern market surveillance technology by offering trading venues, regulators and market participants the most competitive solution available.
For additional information about Scila AB, please visit www.scila.se