Finance - Virtual Roundtable

How data is transforming financial trading

16th March 2021 | 3:00pm - 4:30pm GMT

What impact are emerging approaches to data having on algorithmic trading in a post-COVID world?

Volatility makes prediction difficult – and few environments are as volatile as the one we find ourselves in right now. The ferocity of recent market turmoil has inflicted painful losses on some funds, but also resulted in big wins for others. There has been little in the way of middle ground.

As such, leveraging the power of real-time analysis and emerging developments in AI/ML to better understand market complexity, manage risk and identify where to make the next big play has become increasingly attractive to trading firms. And at the heart of that lies data.

Indeed, getting a handle on the wealth of data at your disposal in order to drive better decision-making and mitigate risk is critical. But financial data is inherently complex and high velocity, with a high signal-to-noise ratio. So how do you cut through that noise in order to gain an advantage? How is data transforming the way trading firms think about risk? What is the role of alternative data in making sense of volatile or fast-moving environments? And what role can emerging technologies play in better managing and making sense of that data?

Speakers

Speaker

Mike Woodacre HPE Fellow and Chief Technology Officer for the High Performance Computing (HPC) and Mission Critical Solutions (MCS) group , HPE and Intel

Mike Woodacre is an HPE Fellow and Chief Technology Officer for the High Performance Computing (HPC)… Find out more

Speaker

Dr. Jochen Papenbrock Financial Technology Customer & Partner Relationship Manager – EMEA, NVIDIA

At NVIDIA, the leading AI technology company, Jochen is a Financial Technology Customer & Partner Relationship… Find out more

Speaker

Nir Vulkan Associate Professor of Economics, Said Business School and the Oxford Man Institute

Nir Vulkan is an Associate Professor of Economics at the Said Business School and the Oxford… Find out more

Discussion Topics

In light of the current crisis, is it time to rethink existing risk management models? How do we move to a more pre-emptive, rather than reactive, response to risk?

What is the role of alternative data (such as social media, analyst calls and other publicly available data) in making sense of volatile or fast-moving environments?

What tools are emerging to enable better decision-making? How are organisations leveraging AI and machine-learning tools to help them?

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