TradeTech Europe 2020

21 - 23 April, 2020

Palais des Congrès de Paris

+44(0)2073689836

Antish Manna, Head of Execution Research at GLG Partners, Man Group
GLG Partners, Man Group Logo

Antish Manna


Head of Execution Research
GLG Partners, Man Group

Check out the incredible speaker line-up to see who will be joining Antish .

Download The Latest Agenda

MAIN DAY 1- APRIL 22

Wednesday, April 22nd, 2020


3:25 PM Panel- How can you use data visualisation tools to improve portfolio management and trading decision-marking in real time and extract more meaning from your data?

  • How to decipher how the trader needs the information formatted: where is the disconnect between PM and trader?
  • How do traders look are data and how do current visualisation tools match up?
  • How do traders best apply data from PMs and other teams and what dashboards work best?
  • What are the recent developments in current visualisation dashboards to improve data manipulation and be more user friendly?
  • How do more basic tools compare to more customisable, open source packages and why would you use one over the other?

MAIN DAY 2- APRIL 23

Thursday, April 23rd, 2020


9:05 AM All Star Panel – To what extent do you need to leverage AI and ML techniques to make a real impact to your front office and how can you overcome the common pitfalls to get it right first time?

Outside of the technology sector, financial services is the biggest spender on AI services and this only looks to continue. Witness two of the biggest asset managers by AUM, two leading European brokers and the 4th largest exchange in Europe disclose how they are leveraging AI and ML to advance execution and algorithmic trading.

  • Where is robotic process automation (RPA) successfully being used and how does this compare to the needs/requirements of the front office?
  • To what extent is it beneficial and when does it start to be detrimental?
  • What is really working from a performance and execution standpoint?
  • How to overcome the bottlenecks of implementation such as cost and infrastructure limitations?