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

More than 120 top Investment Banks and Asset Management Firms sent senior teams of data experts to FIMA Europe in 2018 and discovered 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

2019 Speakers included:

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Kristi Tange

Co-Head, Global Enterprise Operations
Goldman Sachs

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Rakshit Kapoor

Group Chief Data Officer
HSBC

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Ade Agbede

Global Head of Data Services Integration
Blackrock

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Christophe Tummers

Head Service Line Data - Group Data Management Office
UBS

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Sanjay Saxena

Global Head of Data Governance and Strategy
Northern Trust

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Elaine Priest

Group Chief Data Officer
Royal Bank of Scotland

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Mark Ainsworth

Head of Insight Analytics
Schroders

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Ruben Lara

Chief Data Officer
Aberdeen Asset Management

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Chris Bannocks

Group Chief Data Officer
ING

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Oliver Burrows

Chief Data Officer
Bank of England

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Hany Choueiri

Chief Data Officer
Aldermore Bank

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Lee Raybould

Chief Data Officer
Nationwide

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Lakshmi Thyagarajan

Global Head of Data Strategy
Credit Suisse

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Gary Goldberg

Chief Data Officer
Mizuho International

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Barry Panayi

Chief Data Officer
Lloyds Banking Group

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David Rassool

Head of Data Science, Group Functions Information & 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

November 2019 in London

What you missed in London

  • How AI, Robotics and Blockchain can be applied in practice
  • How to rapidly meet data requirements for overlapping regulations to avoid huge penalties
  • Giving your data teams access to the latest trends in enterprise data management
  • Making 100s of contacts in the global data community to expand your professional network
  • Actionable tips and advice on operationalising data science techniques
  • Please take down the sponsor logos from the bottom of the page