2018 Registration Now Open! Be an early bird and save up to £200 when you register before September 21st.

 

FIMA is the global networking event for 500+ buy & sell-side data leaders.

With more than 120 top Investment Banks and Asset Management Firms sending senior teams of data experts to FIMA Europe in 2018, join them and discover new ways to:

  • Comply with ongoing regulations faster and at lower cost
  • Innovate by operationalising AI, ML and robot-enabled data management tools
  • Pioneer new architectures and techniques that enable the monetization of data

“A great opportunity to capture new ideas and rethink your current data strategy ”

Gary Goldberg, Global Chief Data Officer, Mizuho

Be Inspired. Learn From:

img

Rakshit Kappor

Group Chief Data Officer
HSBC

img

Chris Bannocks

Group Chief Data Officer
ING

img

Barry Panayi

Chief Data Officer
Lloyds Banking Group

img

Elaine Priest

Chief Data Officer
Royal Bank of Scotland

img

Andrew Barnett

Chief Data Officer
Legal and General

img

Ade Agbede

Global Head of Data Services
Blackrock

img

Mark Ainsworth

Head of Data Insights
Schroders

img

Emma Movitz

Head of Group Function Information and Reporting
Nordea

575

Buy- And Sell-Side Data Leaders

183

Investment Banks, Asset Management Firms And Wealth Managers

95

Speakers

42

Chief Data Officers

18

Of The Top 20 Investment Banks

8

Of The Top 10 Asset Management Firms

13

Hours Of Networking

2

Masterclasses

“Focused on data innovation and ways to make our data work smarter for us ”

Graham Smith, Head of Data Innovation, Royal Bank of Scotland

This November in London

  • Find out once and for all how AI, Robotics and Blockchain can be applied in practice
  • Learn how to rapidly meet data requirements for overlapping regulations to avoid huge penalties
  • Give your data teams access to the latest trends in enterprise data management
  • Make 100s of contacts in the global data community to expand your professional network
  • Receive actionable tips and advice on operationalising data science techniques