Main Conference Day 1

November 6, 2013

08:00 Coffee & Registration

Coffee & Registration

08:30 Chair’s Welcome Address

Chair’s Welcome Address

8:40 Update on public reporting of trading data and the associated reference data challenges/requirements

Tim Rowe, Manager, Trading Platforms and Settlement Policy / Market Infrastructure and Policy Department / Markets Division, Financial Conduct Authority Both counterparties MUST report each trade unless by prior arrangement, one party can report on behalf of both counterparties. Likely through contractual obligations with one another which should set out what information is to be reported. Regulatory responsibility remains with original counterparties. Join this talk and a Q&A session to find the details and future challenges of trade reporting as they relate to your reference data strategy. FCA is driving regulation forward and you need to move swiftly with the changes. This session will give you an update on your trade reporting obligations as well as a chance to ask questions directly to senior management of FCA. Hear about:

EMIR and reporting requirements
Who is required to report and when?
Timelines for reporting
Harmonising reporting across Europe
Application of rules to different types of trades

9:10 Guest Address: Taking the practical approach to regulatory compliance and enforcement – what happens when regulation becomes law?

Konstantinos Botopoulos, Chair, Hellenic Capital Market Commission (HCMC), ESMA-Pol Standing Committee

ESMA is responsible for enforcing and monitoring full compliance with regulation as it relates to post trade reporting, clearing and settlement of transactions in financial instruments, including the roles of ,financial market infrastructures and any other entities providing post-trading services. In particular, the Standing Committee is responsible for elaborating advice to the European Commission, and technical standards and guidelines and recommendations relating to the Regulation on OTC Derivatives, Central Counterparties and Trade Repositories. The PTSC is also responsible for developing ESMA’s policy on the regulation of central securities depositories (CSDs) and on the regulatory and supervisory implications of the TARGET2-Securities project.   Every financial institution in Europe has been investing heavily in regulatory compliance. Given that most regulation is not prescriptive most of your peers and competitors are having to guess a lot of the outcomes of their regulatory strategies. Join this opening address to find out about the practical realities of regulation becoming law. Find out what criteria ESMA will be using to judge your regulatory compliance. Get the latest on non-compliance penalties and disciplinary actions. Ask questions and give your feedback to senior officials from ESMA. This talk will focus on:

EMIR and the CSD regulation. The Post-Trading Standing Committee (PTSC) has set up three task forces to develop the relevant draft technical standards that will be required under the European Markets Infrastructure Regulation (EMIR), including updates on regulatory initiatives within: OTC Derivatives, CCP Requirements; Trade Repositories
Coordination in areas such as Settlement Discipline and TARGET2-Securities
Settlement Finality Directive implementation
Practical steps and penalties
Future plans for regulatory implementation

Konstantinos Botopoulos

Chair, Hellenic Capital Market Commission (HCMC), ESMA-Pol Standing Committee

Born in Athens in 1962. Married, with one son. Attorney at law, Doctor of Constitutional Law (University of Paris I, Sorbonne). Chairman of the Greek Capital Markets Commission (as of 2011), Chairman of the Market Integrity Standing Committee (MISC) within ESMA. Ex member of the European Parliament (2007-2009), member of the Budget and Budget Control Committees, as well as the Constitutional Commi [read more]

9:40 Ideas for systemic risk management: developing a global data management strategy and practice to support your financial institution in all decisions

Peter Serenita, Chief Data Officer, Global Banking & Markets, HSBC

Risk management is probably the single most important area of growth, improvement and development in every financial institution globally. Nothing will save your business from failing but careful examination of your risks and exposures. Enabling effective and profitable risk decision process is only possible with accurate, quality and timely data. Every decision and every action taken in a bank is checked and re-checked by your risk management colleagues. Developing an enterprise-wide strategic approach to data management is the only way to ensure systemic risk management is supporting your business on all levels and in every decision. In this talk, one of our most senior and most popular speakers, Peter Serenita, Chief Data Officer, Global Banking & Markets, HSBC will give you his vision, ideas and practical tips for:

Systemic approach to risk through data
Identifying the main challenges of your data strategy – what needs fixing?
Developing an enterprise-wide approach to data strategy
Getting support from all levels
The role of Chief Data Officer
Integrating and implementing quality data into every decision and risk management process
Measuring results – have you made a difference to the P&L?

Peter Serenita

Chief Data Officer, Global Banking & Markets, HSBC

Peter Serenita is the Group Chief Data Officer at HSBC. In this role, he is responsible for the data management practice across all businesses and global functions at HSBC focusing on improving data consistency across the firm. He is responsible for the development of the HSBC Data Vision and Strategy and leads the Group Data Strategy Board consisting of the CDOs and COOs of each of the Global B [read more]

10:10 Networking & Morning Coffee

Networking & Morning Coffee

10:40 Taking a strategic approach to profitable and intelligent data management: enabling effective decisions in all market conditions

John Bottega, Chief Data Officer, Bank of America

In the last 20 years John Bottega has managed teams responsible for developing and supporting data management systems, establishing enterprise repositories and building strong support organizations and governance structures to ensure data quality and integrity. As the New York Fed’s chief data officer, a role he assumed in February 2009, Bottega was at the very centre of financial data collection, analysis and dissemination while the bank worked with many of the world’s largest financial institutions, the U.S. Treasury and the newly created Office of Financial Research. To help the public and private sectors work together on data management objectives designed to provide transparency into the financial health of many institutions, Bottega tapped into the experience and knowledge he gained from his previous senior data management roles and his work with the Enterprise Data Management Council. Now Bottega is CDO at Bank of America. John’s experience and reputation make him an ideal source of information, strategies and ideas on how to approach enterprise data management and what the critical success factors are. Join this visionary talk to hear John’s views on:

Assessing the challenges of your data management strategy
Bringing data management to your board of directors
Evaluating the impact of data on your P&L – show them the money
Building an intelligent approach to data with a view to the future role of data in your business
Forecasting and measuring results

John Bottega

Chief Data Officer, Bank of America

11:10 Developing your risk data management strategy – the role and importance of quality timely data. What does your risk management look for?

Paul Jones, Head of Finance and Risk Data Governance, Group Information Risk Management, Barclays

In his current role Paul Jones has Group-wide responsibility for Finance and Risk Data Governance. He is currently leading an initiative to join up data-related activities across all parts of the bank, including oversight of initiatives to meet requirements such as the BCBS 239 principles. Find out how Paul is translating business objectives into pragmatic solutions that deliver real, lasting change and benefit. Learn the strategies and apply new ideas in your business. In particular:

Data collection and availability
Data quality – continuous improvement strategies
Data use – delivering tailored solutions to different internal users
Risk management – key challenges and considerations
Enabling effective decisions and risk management policies through accurate data

Paul Jones

Head of Finance and Risk Data Governance, Group Information Risk Management, Barclays

Paul Jones is a Director in the Group Information Risk Management team at Barclays and has Group-wide responsibility for Finance and Risk Data Governance. He is currently leading an initiative to join up data-related activities across all parts of the bank, including oversight of initiatives to meet requirements such as the BCBS 239 principles. Paul joined Barclays in early 2012. He previously wor [read more]

11:40 Panel: Taking a practical approach to bringing true value to business through effective data strategy, architecture and use

Panel: Taking a practical approach to bringing true value to business through effective data strategy, architecture and use
Speaker to be confirmed

12:10 Big Ideas Speaker – Running your business through innovative, effective and systematic use of data

Mark Uksusman, Sr. Manager, Data Architecture, eBay

This session will explain the eBay approach of handling Big Data Analytics, EDW, Agile Data Management and Metadata Management. Hear how eBay deals with massive volumes of data and metadata including 800 data models, 16000 tables, web analytics data, enterprise data models, Self- Service and the Metadata Management. I will share of how eBay is handling on one of America's largest OLTP and Data Warehouses systems. Mark Uksusman, Sr. Manager, Data Architecture will present eBay’s Self Service Analytics platform and discuss the latest trends emerging at eBay. He will provide an overview of how eBay is addressing the Big Data challenge and supporting multi-petabytes of analytical processing daily, on top of a technology stack built to scale and provide self-service analytics throughout eBay. Join this talk to learn about eBay’s experience of using new technologies to support integration of Metadata Management tools with enterprise environment.

Big Data Analytics
Agile Data Management
Integration of Technical and Business Metadata
Self Service tools and integration with Metadata Repository
Self Service and Metadata tools are speeding up eBay development process and reducing time to market

Mark Uksusman

Sr. Manager, Data Architecture, eBay

Mark Uksusman is a Sr. Manager, Enterprise Data Architecture at eBay, Inc., overseeing Enterprise Data Architecture, Data Warehousing and Metadata Management. Mark Uksusman has more than 20 years' of experience in Data Management, Business Intelligence, Data Governance, Architecture, OLTP and Data Warehousing. Before joining eBay, Inc., he was a VP of Technology for First American Corporation. [read more]

13:00 Networking Lunch

Networking Lunch

14:00 Round table descriptions

Liam Davis, Senior VP, Citi
PJ Di Giammarino, CEO, JWG Group
Dave Poole, Data Architect, Moneysupermarket.com
Sophie Rutherford, , Operational Risk Manager, RBS

Data Strategy As Business Enabler

Designed for senior reference data managers and heads of operations to discuss strategic, regulatory and operational challenges facing financial institutions today. Data strategy, centralisation, implementation and management issues will form the core of this conference stream. Part of the day will be dedicated to structured networking, benchmarking and topical roundtable discussions to facilitate exchange of ideas, experiences and strategies.

Setting and achieving business goals in data management: structure, strategy and benchmarks Peter O’Keefe is responsible for implementing a new data management strategy in RBS. He is restructuring, consolidating, expanding and introducing new ideas to the existing framework. This talk will be a reflection on Peter’s strategy, the practical realities and his goals for:

Introducing new strategies based on real impact on P&L
Setting business goals for your data management
Managing the existing framework, architecture and business processes
Finding all major areas for improvement –what will give you the biggest bang for your buck?
Setting the strategy, selling it to your management and implementing it internally and with customers
Measuring results – P&L, other criteria

Data Quality & Vendor Management

This conference stream will address key aspects of vendor sourcing, selection and management. Cost effective SLAs, new vendor management models, data quality control measure and strategies will bring together dozens of data quality and vendor managers looking for new solutions, cost saving ideas and benchmarking opportunities. Debates with vendors and experience benchmarking roundtables will follow on from case study presentations and analytical talks on vendor management and cost saving strategies.

Case Study: New ideas and strategies for securities pricing business modelsMost financial institutions suffer from inconsistent information regarding the security master file, counterparties, accounts and customers. The data is stored in multiple, disparate databases across the enterprise. This leads to duplication of data, reconciliation expenses, sluggish response and time-to-market, multiple data standards that need to be maintained, silos and redundancy within systems. Join this talk and case study presentation to find out how at Citi they deal with the challenges of:

Standardisation issues
Data reconciliation challenges
Creating automated systems and dynamic data governance rules
Data harmonisation strategies
Enabling effective decision-making on all levels with quality data across the enterprise

Regulation Focus

Join this conference stream if you are responsible or involved in developing a strategy for regulatory compliance within your business. Case study presentations and discussions with the regulators will form the basis of this stream. Your peers from buy side and banks will be giving insight into how they cope with: Solvency II, Basel III, FATCA, AML, MIFIR, Dodd Frank Bill, MiFID, AIFMD,UCITS, Form PF, CSDR and many other regulatory initiatives which are costing your business money and directly impact your bottom line.

Overview of the current regulatory initiatives and their impact on your business

Data Architecture: Big Data - What Works & What Doesn’t?

Built specifically to address the practical and strategic issues facing data architects in financial institutions, this conference stream will attract top and medium level IT and architecture experts. The afternoon will bring challenges such as infrastructure, silo based operations, IT costs and ROI, data governance and collaborative IT strategies to the agenda. Networking workshops for up to 15 participants will follow on from case study presentations and panel discussions. Delegates will have a unique chance to not only learn from their peers in a formal conference environment, but to benchmark and exchange ideas in smaller more specialised groups.

Data lineage and the impact of architecture on the life of dataWith 25% annual enterprise data growth, your business is facing rapidly escalating challenges in making complicated, higher value decisions; the sources, transformations, and movements of enterprise data are very difficult to track. For you to remain competitive, you must do a better job of leveraging enterprise data as an asset, while complying with business standards and mandatory regulations.If effective data lineage is out of reach, there can be bigger penalties to pay. And the repercussions of doing nothing can ripple throughout an entire organization. Join this talk to hear how data architecture is helping Dave Poole to manage customers and data in the retail environment. Find out about:

Documenting workflow
Managing customer data
Managing customer enquiries
Strategies for data quality control
Getting rid of duplication and silos
Managing risk in different types of situation
Using data to manage business risk
Monitoring data use and governance

Risk Management: Strategy & Successful Models

This NEW conference stream is designed to examine risk management as part of overall data management strategy. Senior level risk managers will be giving case study presentations and joining panel debates focused on the role of data, its utility and its future as part of risk strategy. Most financial institutions view data as the one and only saviour from dangerous risk taking, disasters and catastrophes. It is no surprise that risk managers look to data and operations for structured quality information to base their decisions and future plans.

Using data in operational risk management: what is changing and how should you change your strategy?

Liam Davis

Senior VP, Citi

PJ Di Giammarino

CEO, JWG Group

Former COO IT at Barclays Capital, PJ is the founder and CEO of JWG – a think-tank recognised by regulators, financial institutions and technology firms as the independent analysts to help determine how the right regulations can be implemented in the right way. He works with executives in top financial institutions, and with their regulators and suppliers, to bring practical in [read more]

Dave Poole

Data Architect, Moneysupermarket.com

Sophie Rutherford

, Operational Risk Manager, RBS

Round table descriptions

David Berry, Market Data, Global Sourcing, UBS
Alison Cawdery, Senior Product Manager, HSBC
Colin Gibson, Head of Data Architecture, RBS Markets & International Banking
Frank Hickman, MD, FRH Associates
Chris Johnson, Head of Product Management, Market Data Services, Fund Services, HSBC Securities Services, HSBC
Andrew Lewin, Business Analyst, Citigroup
Vinod Rajasimha, Senior Market Data Vendor Manager, ING Investment Management

Data Strategy As Business Enabler

Case Study: Lloyds PPI story Over 140,000 customers did not receive their payments promptly.Hundreds of thousands of people have received redress after they were mis-sold PPI they did not want or need. PPI was designed to cover loan repayments if the policyholder fell ill, had an accident or became jobless. But the policies were mis-sold on a massive scale to those who did not want or need them, or who would have been unable to make a claim.Lloyds Banking Group, which encompasses the three banks, sent letters to 582,206 people between May 2011 and March 2012, informing these customers that they would be paid compensation. Needless to say there were major internal problems and this scandal led to an overhaul of the data and customer management strategy across the Lloyds group. Some of the problems mentioned in the press in connection with this scandal were:

Copy and paste errors, including one which led to customers being paid the wrong amount in compensation
Staff failing to process some payments, or processing the same batch twice
Cheques being "stored inappropriately" in offices.

Frank Hickman was personally involved in working thought Lloyds PPI crisis, managing the data strategy, changing processes and helping the bank deal with thousands of claims and misunderstandings. Join Frank to hear the details behind the Lloyds PPI.

Data Quality & Vendor Management

Panel: Developing a “win-win” cost & data licensing model As the customer is getting more sophisticated in their use of data across enterprise, so will the data vendors. Most data managers have been charged with cutting costs by eliminating unused data feeds, expensive SLAs and unneeded data capacities. This means data vendors need to change their product offerings and SLAs. Join this panel to discuss how data vendors are adapting to the changing market conditions and what you can do to minimise data acquisition and licensing costs. Find out about:

Main challenges in data licencing – what is costing you most
Finding unnecessary spend
Re-negotiating SLAs and licencing agreements with vendors
Building new flexible models for data use according to the changing needs of your enterprise
Setting goals and measuring savings and efifciencies

Regulation Focus

Your regulatory burden for 2014: reference data you must have in place to remain compliant with new regulationsRegulators (and regulations) require data that is complete, accurate and appropriate. Yet data management, at an industry level, is immature with few standards, minimal regulation over data content and a lack of industry leadership. This talk is designed to give you an overview of the scope, changes and requirements for different types of regulatory initiatives currently costing and impacting your business. They include: Dodd Frank and the LEI, CCPs: EMIR, Dodd Frank, FATCA, MiFID, II/MiFIR, AIFMD and UCITS IV/V Solvency II. Hear and ask questions about:

Overview of investment process
Overview of current state
Regulatory scope, changes and data impacts
Heatmap of data content impacts
New data content likely to be required
Industry level immaturity
The costs of data management
Conclusion on regulatory/business

Data Architecture: Big Data - What Works & What Doesn’t?

Data architecture done right: sticks & carrots People who spend a lot of time thinking about Architecture tend to think that “Doing It Right” architecturally is plain common sense. But the vast majority of people involved in the analysis, design and implementation of change don’t spend a lot of time thinking about Architecture. As Head of Data Architecture, Colin works across M&IB to drive progress towards an agreed target state for how data is understood, sourced, stored and shared. He is responsible for creating, populating and leveraging the “Data KnowledgeBase” - a central repository of information about M&IB’s data. Find out from Colin how you can get “architectural common sense” to prevail?

What is Data Architecture, really?
What business value does a good Data Architecture offer?
What are the challenges to centralised enforcement of Architecture discipline?
Does the carrot offer more promise than the stick?

Risk Management: Strategy & Successful Models

Increasing systems and architecture efficiency to maximise business benefits of data

David Berry

Market Data, Global Sourcing, UBS

Alison Cawdery

Senior Product Manager, HSBC

Colin Gibson

Head of Data Architecture, RBS Markets & International Banking

Following an initial career in the defence sector, Colin has held senior infrastructure management and software development positions in several investment banks. He joined RBS in 2006 and led several initiatives to address key data and architecture challenges facing M&IB. These included a programme to develop and implement a consolidated, authoritative store of all transactions. [read more]

Frank Hickman

MD, FRH Associates

Chris Johnson

Head of Product Management, Market Data Services, Fund Services, HSBC Securities Services, HSBC

Andrew Lewin

Business Analyst, Citigroup

Andrew Lewin is head of Non-Global Markets, Market Data, Expense Management EMEA at Citi. Andrew Joined Citi in 2010 where he has run cost saving initiatives within the Market Data and Reference Data arena. Previously Andrew worked at Credit Suisse where he was global lead for Index and ETF Market Data and EMEA lead for Reference data. Andrew has worked on both the buy-side and sell-side in the fi [read more]

Vinod Rajasimha

Senior Market Data Vendor Manager, ING Investment Management

Vinod joined ING Investment Management two years ago as a Senior Market Data Vendor Manager. Vinod was previously at Macquarie Bank, London for 2 and half years where he was doing the commercial management of market data for EMEA region. Before then he was a Market data analyst at Macquarie bank in Sydney for 3 years. Before moving into Market data world, he has been working in Finance for over [read more]

Round table descriptions

Tony Coates, Information Architect – Group CTO, UBS
Paul Cullender, Head of Client Reference Data & Client On-Boarding IT, RBS
Tom Dalglish, CTO Group Data, UBS
Sally Hinds, Founder, DMCS
Paul Jones, Head of Finance and Risk Data Governance, Group Information Risk Management, Barclays
Michael McMorrow, Principal, MMM Data Perspective
Paul Sharkey, Vice President, Pricing Manager, Northern Trust
Sean Taylor, Director, Financial Intermediaries, Deutsche Bank

Data Strategy As Business Enabler

Panel Discussion: Is LEI genuinely worth implementing right now? Everyone agrees LEI is a good thing. Good for businesses, good for customers and good for the regulators. Ever since FIMA conference started 10 years ago the issue of standards and standardisation has been core to every data manager’s agenda. Banks and buy side have been pushing to adopt one legal entity identifier to get rid of huge inconsistencies, silos and lots of data processing work. LEIs are now on the regulator’s agenda and seem to be getting close to reality. But are they? Join this panel debate to find out if in practical terms you will see the success of LEIs across the financial community in the near future. Find out about:

Genuine timescales for LEI implementation from the regulators
Practical realities for implementation across all financial institutions
Preparing your systems to introduce and use LEI’s
Managing architecture and LEI use across your business
Working with customers, partners and clearing houses
Financial implications of introducing LEIs

Data Quality & Vendor Management

Panel: Examining business benefits and challenges of implementing and running collaborative data strategiesFor too long small central teams often within IT functions (IT architecture, Logical Data Model Group, Data Dictionary Teams etc.) have tried to get a handle on the data problem. Not only do these functions lack the business language, context and engagement to be of value in the day to day, their artefacts are handcrafted with no way to integrate nor enrich one another.In the consumer world millions of people are freely and effectively contributing on wikipedias, web forums, open source projects etc. but in the corporate world we still content ourselves with writing word documents which we email back and forth.This panel is prepared for you to discover the benefits of open, collaborative and self-regulating data management. You will hear about:

collective understanding around data
leveraging modern web techniques getting every business function to contribute their knowledge around the data items they understand well.
Governance rules for collaborative data management
Business benefits and risks of such approaches

Regulation Focus

Four Regulations; One Delivery Platform

Data Architecture: Big Data - What Works & What Doesn’t?

Panel: Debating benefits and pay back of using managed servicesThe investment in specialist hardware and software will be high. A managed service offers the highest quality enterprise and carrier grade solutions to customers. A fixed monthly payment plan means you know what you're going to get and how much it's going to cost over the contract. No unexpected upgrade charges or changes in charges, guaranteed. Managed IT Service Providers can be extremely flexible; a pay-as-you-go payment plan allows for quick growth when necessary, or cost savings when you need to consolidate. There are however drawbacks, risks and possibility of costs spiralling out of control. Join this panel debate to learn about the questions you should be asking your managed services provider. Find out how to:

Set a long term managed services strategy
Identify goals, benchmarks and ROI
Choose your service provider based on your needs and cost savings
Manage risk – how much control do you release from “in-house”?
Managing the relationship with your service providers
Using their expertise to solve your problems
Changing SLA’s and getting good value for money
Measuring results – costs vs performance

Risk Management: Strategy & Successful Models

Panel: Developing an effective risk framework within your data strategy

Tony Coates

Information Architect – Group CTO, UBS

Anthony B. Coates (Tony) is a financial modelling and message design specialist based in London. Tony has been involved with numerous financial standards since 2000, including FpML, ISO 20022, XBRL and MDDL. He is currently a Data Architect in the Chief Technology Office at UBS.

Paul Cullender

Head of Client Reference Data & Client On-Boarding IT, RBS

Tom Dalglish

CTO Group Data, UBS

Tom is the Global Head of GDS Financial Instruments and Pricing. With over 20 years of success in delivering global systems and infrastructures he is a recognized expert in reference and market data with a reputation for delivering quickly.A passionate believer in building tightly-integrated teams, he describes himself as a well-rounded, hands-on computer scientist with a tenacious drive for depl [read more]

Sally Hinds

Founder, DMCS

Sally has worked for over 25 years in the enterprise data management space, for financial institutions, consultancy firms and for major vendors. Her major successes include:

Establishment of a centralised shared service data organization encompassing both technology and operations for a major Tier 1 investment bank, providing high quality service to the global organization, for both marke [read more]

Paul Jones

Head of Finance and Risk Data Governance, Group Information Risk Management, Barclays

Michael McMorrow

Principal, MMM Data Perspective

Michael is Principal of MMM Data Perspectives, a new company formed to provide consultancy to organisations on how to effectively drive data into the heart of business strategy – based on a commonsense approach to organising, understanding and exploiting that data.Prior to this Michael was Head of Information Solution Design at AIB Bank, strategically centred on the Enterprise D [read more]

Paul Sharkey

Vice President, Pricing Manager, Northern Trust

Paul Sharkey, Vice President, Operations and Technology, has been with Northern Trust Ireland since August 2008. Paul received his Business Studies Degree from W.I.T. before joining Citibank in 1997. Previous to joining NT Paul worked for Irish Life Investment Managers as Pricing Manager between 2001-2008. Paul is Member of NT Executive Management Committee, Risk Committee and also a member of the [read more]

Sean Taylor

Director, Financial Intermediaries, Deutsche Bank

16:00 Afternoon Coffee & Networking

Network, benchmark and learn from your peers – use the roundtables to get answers to your questions!Heads of reference data and data architects don’t often get the chance to meet others in their field in small groups of 10-12 professionals all doing similar jobs on similar levels in financial institutions. This session is an opportunity for data managers to meet their peers during a round tables session.You may gain a technical resource, someone to bounce ideas off of or a professional mentor. Obvious benefits aside, it’s valuable to chat with someone who does your job outside of your company who understands the challenges and frustrations of your position. Ask questions and find out if others are having similar challenges. Conference sessions often have limited Q&A time. This means you sometimes don’t get an in-depth technical answer to your question. Round table sessions will allow you to thoroughly explore an issue with the aid of a knowledgeable, experienced moderator.Get different viewpoints.Every data management strategy and architecture is different. This generates vastly different experiences and viewpoints on subjects like architecture, governance, LEI, data depositories, transparency, regulatory compliance, IT and skill set development . Getting outside viewpoints may present challenges you wouldn’t have seen coming or solutions not otherwise considered. Share your own knowledge and expertise.Not only can you access and gain strategies you need for a specific project you’re working on, but you can also share your own experiences and knowledge with other heads of desks. You can build credibility, expand your network and help a colleague out.

16:30

David Berry, Market Data, Global Sourcing, UBS
Marc Berthoud, Vice Chairman, FESE (Federation of European Securities Exchanges)
Tom Dalglish, CTO Group Data, UBS
Liam Davis, Senior VP, Citi
PJ Di Giammarino, CEO, JWG Group
Colin Gibson, Head of Data Architecture, RBS Markets & International Banking
Sally Hinds, Founder, DMCS
Chris Johnson, Head of Product Management, Market Data Services, Fund Services, HSBC Securities Services, HSBC
Paul Jones, Head of Finance and Risk Data Governance, Group Information Risk Management, Barclays
Andre Kelekis, Independent Consultant,
Dave Poole, Data Architect, Moneysupermarket.com
Tobias Preis, Founder and Managing Director, Artemis Capital Asset Management
Sophie Rutherford, , Operational Risk Manager, RBS
David Thomas, Global Reference Data Operations, Barclays Capital
Mark Uksusman, Sr. Manager, Data Architecture, eBay
Lorraine Waters, Founder, DMCS