Highly scalable and modular data lake platform designed to support time series data sets and complicated analytics
Data is centre stage in financial markets for all capital market participants. Access to quality market data is a requirement for alpha generation and ongoing regulatory requirements. Incoming new regulation, like MiFID II or FRTB, are increasingly rigorous around risk, post-trade reporting and execution management requirements. Meanwhile, new data-hungry analytical and surveillance applications using Artificial Intelligence and Machine Learning algorithms have started gaining ground, putting further pressure on the existing data infrastructure and capabilities within banks, exchanges and buy-side institutions.
As a result, ensuring high quality data is easily accessible has become crucial throughout the whole trade lifecycle.
TickSmith is at the forefront of this trend, providing next-generation, highly scalable and modular financial infrastructure, built on big data technology.
They have created a data lake platform that provides the missing link to centralise data from external and internal data feeds and that enables API access to feed current and future data-intensive applications. Use cases include data distribution, monetisation, MiFID II compliance and reporting, back testing of trading algorithms, market surveillance, risk management, and Machine Learning driven analytics.
Highly scalable, modular solutions, like TickSmith, building on more efficient new technology such as Cloud or Hadoop, will be a crucial piece in the armoury of any capital markets player.