TradeTech Europe 2017

25 - 26 April, 2017

Palais des Congrès de Paris

Contact Us: +44 (0)207 368 9548

 Kenneth McLeish
Kenneth McLeish Global Head, Equities Trading Technology JP Morgan AM
J.P. Morgan Asset Management is one of the largest and best-known names in investment management and has $1.8 trillion of assets under management. With extensive experience on the sell side at Barclays Capital, then Lehmans, his move to the buy side entails a close working relationship with the Global head of equities trading helping build the platform to automate, streamline and globalise trading to deliver the best possible execution for their clients.

Main Day 1: Tuesday 25th April 2017

12:05 PM OXFORD STYLE DEBATE: Buying off the shelf is more cost effective and efficient than building an in-house system- for and against

Against- by developing an  in-house system  you have complete oversight on how the technology complies and fits into budget
Against- when developing in house, you have complete ownership of your data
For- with the growing number of innovative and effective platforms and bolts on in the market, it’s cheaper and more time efficient to outsource
For- with such advanced analytical tools now available, it’s very easy to evaluate outsourced products to see whether they fit and work into current processes for the business?

(Secure your front row seat as the conference room becomes a battlefield. Witness four industry experts (two for and two against fight their corner on this topic. Who will deliver the knockout argument to claim victory? Take your place and vote live.)

Against: Kenneth McLeish, Global Head, Equities Trading Technology, JP Morgan AM

For: Huw Gronow, Head, Trading, Newton Investment Management &

Matthew Reid, Product Manager, Trading, SimCorp

Main Day 2: Wednesday 26th April 2017

2:40 PM BUY SIDE DISCUSSION PANEL: How is automated workflow driving trading efficiency and improving desk intelligence?

  • When is automation best and what are the aspects of order flow that can be automated?
  • How can effective pre and post trade analysis help develop mathematical models that predict the impact of your trade? What does this look like automated?
  • What is the right balance of automation and human trading?
  • Telephony development- how integrated is Symphony in the market and are there other disruptors entering the market to help with desk communication?