Skip to main content

ICMA Centre Industry Insights

We are pleased to announce our new seminar series ICMA Centre Industry Insights running during the Spring term.

Selected practitioners, including senior bankers from the City of London with more than 15 years of experience will be coming to the ICMA Centre to provide exclusive information on key financial industry roles, helping students to make better informed career choices. Speakers will discuss specialised finance topics, such as High Frequency Trading, Counterparty Risk Management and Private Wealth Management.

The sessions will consist of a core presentation, followed by informal discussions and questions from students. They will be running on Wednesdays at 1pm in the Large Lecture Theatre.

To register and for more information, please go to

Wednesday 29th of January 2014

High Frequency Trading

Speaker: Lee Burrows

Wednesday 5th of February 2014

Management Consulting

Speaker: TBC (Huntswood)

Wednesday 12th of February 2014

Private Wealth Management

Speaker: Konstantinos Maratos, CFA

Wednesday 19th of February 2014

Corporate Treasury

Speaker: Austin Matthews, CTA, of Thames Water

Wednesday 26th of February 2014

Counterparty Risk Management

Speaker: Dr Dimitris Karyampas

Published 23 January 2014

You might also like

ICMA Centre students to visit Tsinghua University for Summer Program 2016

24 June 2016
Three masters in finance students at the ICMA Centre have been awarded scholarships to take part in a summer exchange program with China’s PBC School of Finance, Tsinghua University.

Industry Insights: Jean-Michel Deligny, Silverpeak - Boutique Investment Banking for Tech Firms

3 April 2019
Industry Insights - Investment Banking and Tech Firms
Industry Insights reviews

Econometrics and Financial Data Science conference at the ICMA Centre

6 November 2017
The ICMA Centre at Henley Business School hosted the first edition of the Econometrics and Financial Data Science conference on 2 November 2017. Financial data science is an emerging field that uses novel datasets and technologies made possible through recent advances in computer science to answer important financial questions.