FIMA Europe 2024

21 - 22 November, 2024 *With Tech innovation Day on 20 November

Novotel London West, London, United Kingdom

Videos

Watch FIMA Video Interviews on Data Management Challenges

FIMA is the premier conference for the financial reference data management community and the must-attend event for financial data management professionals. We fully understand the data management challenges you face hence why we would like to give you an insight of what some of your peers and competitors think.

Check out our most recent data management interviews on such regulations and hot topics as Solvency II, LEI – Legal Entity Identifier, the importance of a data management team and the importance of key data management skills.

Developing a Profitable Global Data Strategy Structure, Strategy and Benchmarks

Global Data Webinar

Click Here to Watch The Webinar

This webinar includes content such as :

  • Data governance – roles, processes and accountability
  • Defining and measuring data quality standards
  • Quantifying the impact of poor data in a business – how much does bad data cost you?
  • How do you prioritise activity to make the biggest impact in your internal data management

Chris Johnson Interview: Regulatory Solutions | Solvency II Regulation

Solvency II Regulation

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Chris Johnson, Head of Product Management, Market Data at HSBC Securities Services, discusses how financial data management professionals are preparing for the new regulation that is coming their way and what their challenges and opportunities are.

Professionals are gaining further understanding on regulations (Dodd-Frank and FATCA, MiFID, Solvency II regulation and others) therefore they are working on making the regulatory solutions consistent and cost effective.

Legal Entity Identifier - LEI: Francis Joseph Gross Interview

LEI

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Francis Joseph Gross, Head of Division, DIV External Statistics at the European Central Bank, discusses key aspects of Legal Entity Identifier – LEI, such as its introduction, implementation and development.

Francis also talks about how Legal Entity Identifiers are going to be driven for further standardisation in the future.

Is your Data Architecture more like Data Archaeology?

Data Architecture Archaeology

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Sick of making his teams play treasure hunter, Colin Gibson runs the small data architecture team within the markets and international banking divisions at RBS and has spearheaded a project to create a one-stop repository for all market reference data, all perfectly indexed and tagged, that takes the mining out of data mining and lets RBS employees spend more time creating and executing the strategy and less time digging for clues.

FIMA spoke with Colin to find out more about the project and share his key findings and successes…

John Visti Interview: Vendor Selection and Management | Market Data Strategy

Vendor Selection Management

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John Visti Madsen is an independent Market Data Strategist that has worked for some of the leading market data vendors on both the buy side and sell side.

John takes us through the importance of correctly planning your market data strategy and what you need to think about when it comes to vendor selection and vendor management. We also look at the impact of the upcoming regulations including MiFID II on market data and information management.

Julia Sutton Interview: Data Management Skills for Professionals

Data Management Skills

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Julia Sutton joined Deutsche Bank where she’s been asked to help build a unique identification database and to integrate it throughout the systems within Deutsche that hold core customer data.

Julia discusses the required data management skills for professionals and how the discipline has changed through out the years.

Julian Dorado, M&G Investments Interview: Data Management Team and Function

Data Management Team

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Julian Dorado, Head of Data Management, M&G Investments, attended FIMA to talk about the profile of the data management team at M&G Investments, but also in the context of financial organisations.

Julian also discusses the changes in the requirements of a data management function over the last few years.

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