Registration Opens, Coffee and Networking in the Exhibition Area
October 15 | 08:00 - 09:00
08:00
09:00
Chairman’s Opening Remarks
Chairman’s Opening Remarks
October 15 | 09:00 - 09:10
Speaking:
09:10
Keynote Presentation: Is “the Cloud” Ready for Financial Services?
- Private Cloud, PaaS, IaaS or Material Outsourcing
- Where’s my data?
- Testing disaster recovery: Google “down”
- Black Swans on Black Friday
- Cloud concentration risk
Speaking:
Rick Hawkins
Chief Data Officer, Global Risk and Global Finance, HSBC
09:40
Keynote Presentation: Data Ops, IT Modernization and Relevance to the Financial Services Industry
Speaking:
Andre De Locht
Governance & Integration - Senior Business Value Consultant Europe, IBM
10:10
Panel Discussion: Curating a Culture that Enhances Buy-In, Roll-out and Trust for Data and Analytics Projects throughout the Organisation
- Developing strong data/analytics/IT/functional unit relationships to drive maximum value from data and analytics initiatives
- Working between teams to deliver optimal reporting and analytics that’s internally user-friendly and positions you as a trusted custodian of data
- Getting around the ‘if it ain’t broke then don’t fix it’ mentality by showing value to individual end users
- Managing change through driving from the top down then providing education and support to see it through
- Incentivising end-users to get the right data at the front end first time and embedding this into the organisation
Speaking:
Peter Eckley
Chief Data Officer , Bank of England
Sarah Walker
Head of Data, Natwest Markets
Lynn Pope
Head of Division, Data Management and Strategy, St James's Place Wealth Management
Brendan Ellis
Head of Data, Shawbrook Bank
Panel Discussion: Curating a Culture that Enhances Buy-In, Roll-out and Trust for Data and Analytics Projects throughout the Organisation
June 15 | 10:10 - 10:50
- Developing strong data/analytics/IT/functional unit relationships to drive maximum value from data and analytics initiatives
- Working between teams to deliver optimal reporting and analytics that’s internally user-friendly and positions you as a trusted custodian of data
- Getting around the ‘if it ain’t broke then don’t fix it’ mentality by showing value to individual end users
- Managing change through driving from the top down then providing education and support to see it through
- Incentivising end-users to get the right data at the front end first time and embedding this into the organisation
10:55
Morning Coffee and Networking
Morning Coffee and Networking
October 15 | 10:55 - 11:25
Speaking:
11:25
Keynote Presentation: How to Create and Quantify the Value of Data in Your Organisation
- Establishing Data & Analytics as a profit centre rather than cost centre
- Embedding data initiatives that add the most value across the business
- Allocating costs and then quantifying projects to reveal realistic ROIs
Speaking:
Clemens Baader
Chief Data & Analytics Officer, International Personal Finance
Keynote Presentation: How to Create and Quantify the Value of Data in Your Organisation
October 15 | 11:25 - 11:55
- Establishing Data & Analytics as a profit centre rather than cost centre
- Embedding data initiatives that add the most value across the business
- Allocating costs and then quantifying projects to reveal realistic ROIs
11:55
Panel Discussion: Scaling and Productising Pilot Projects in an Efficient Way to Move Towards Optimal Business-Wide Decision Making
- Building on the groundwork of data and analytics projects for regulatory compliance to drive value across other areas of the business
- Relative advantages of focusing on individual projects with low risk or high return; or a broader roll-out of numerous projects across the organisation?
- Challenges around larger-scale roll-out of projects across the enterprise; including culture, governance of AI, ethics, regulatory hurdles, skillsets, transparency, explainability and bias
- Examples of successful pilot projects where data governance, people, culture, technology have combined and expanded scope
Speaking:
Huw Howell
Previously, Global Data Management, Chief Operating Officer, Nomura
Leyre Murillo Villar
CDO Data Control Lead, BNP Paribas
Gael Decoudu
Director of Credit Decisioning, NewDay
Stephane Auger
Chief Data Officer, IVIDATA
Panel Discussion: Scaling and Productising Pilot Projects in an Efficient Way to Move Towards Optimal Business-Wide Decision Making
October 15 | 11:55 - 12:40
- Building on the groundwork of data and analytics projects for regulatory compliance to drive value across other areas of the business
- Relative advantages of focusing on individual projects with low risk or high return; or a broader roll-out of numerous projects across the organisation?
- Challenges around larger-scale roll-out of projects across the enterprise; including culture, governance of AI, ethics, regulatory hurdles, skillsets, transparency, explainability and bias
- Examples of successful pilot projects where data governance, people, culture, technology have combined and expanded scope
12:40
Lunch and Networking
Lunch and Networking
October 15 | 12:40 - 13:40
Speaking:
Day 1 Track 1
1:40
Discussion Group 1A: Embedding and Supporting Data Champions and Citizen Data Scientists Across the Business
Identifying and motivating data evangelists within business units is crucial to optimise the uptake and sustainability of data strategies. This session will share stories of how this is being achieved and specific programmes, such as enabling data champions to promote data literacy within their departments and empowering citizen data scientists
Speaking:
Peter Eckley
Chief Data Officer , Bank of England
Santiago Castro
Chief Data Officer , FBN Bank
Jon Summers
Co-founder & Chief of Strategy, Mudano
Discussion Group 1A: Embedding and Supporting Data Champions and Citizen Data Scientists Across the Business
October 15 | 13:40 - 14:25
Identifying and motivating data evangelists within business units is crucial to optimise the uptake and sustainability of data strategies. This session will share stories of how this is being achieved and specific programmes, such as enabling data champions to promote data literacy within their departments and empowering citizen data scientists
Day 1 Track 2
1:40
Discussion Group 1B: Incentivising Uptake of Data and Analytics Tools by End Users to Enhance Insights in Your Department
Data is now at the heart of nearly every role. How can you ensure your teams are incentivised to use data tools and analytics insights on a daily basis? Where can functional unit heads find the most exciting opportunities for new insights?
Speaking:
Nick Bance
Risk Operations Officer, Investec Bank PLC
Gael Decoudu
Director of Credit Decisioning, NewDay
Alban Gérôme
Vice President, Data & CX Technology Manager, Barclays
Discussion Group 1B: Incentivising Uptake of Data and Analytics Tools by End Users to Enhance Insights in Your Department
October 15 | 13:40 - 14:25
Data is now at the heart of nearly every role. How can you ensure your teams are incentivised to use data tools and analytics insights on a daily basis? Where can functional unit heads find the most exciting opportunities for new insights?
Day 1 Track 3
1:40
Discussion Group 1C: Overcoming Metadata Challenges in Financial Services
This session will explore issues around linage, heritage, real meaning, timing and integration to enable more focused data projects. The session will also look at repositioning the view of ‘data warehousing’ internally to improve metadata and architecture modelling that support self-serve analytics.
Speaking:
Lynn Pope
Head of Division, Data Management and Strategy, St James's Place Wealth Management
Leyre Murillo Villar
CDO Data Control Lead, BNP Paribas
Harry Chopra
Chief Client Officer, AxiomSL
Discussion Group 1C: Overcoming Metadata Challenges in Financial Services
October 15 | 13:40 - 14:25
This session will explore issues around linage, heritage, real meaning, timing and integration to enable more focused data projects. The session will also look at repositioning the view of ‘data warehousing’ internally to improve metadata and architecture modelling that support self-serve analytics.
Day 1 Track 1
2:25
Discussion Group 2A: Showing the Value of Data on the Ledger
Monetising data is a no-brainer, but given that data is increasingly being viewed as a business asset, this session will explore how to manage this value and show this value on the ledger. We’ll also explore the value of data on the ledger from an ML perspective.
Speaking:
Alan Tua
Head of Analytics & Data Science, Direct Line Group
Huw Howell
Previously, Global Data Management, Chief Operating Officer, Nomura
Gary Goldberg
Chief Data Officer, Integrated Supply and Trading, BP
Discussion Group 2A: Showing the Value of Data on the Ledger
October 15 | 14:25 - 15:10
Monetising data is a no-brainer, but given that data is increasingly being viewed as a business asset, this session will explore how to manage this value and show this value on the ledger. We’ll also explore the value of data on the ledger from an ML perspective.
Day 1 Track 2
2:25
Discussion Group 2B: Overcoming Key Data Challenges in Smaller Organisations, Challengers & Fintech
Smaller or newer FSIs often don’t have an in-depth historical view of the customer or markets they operate in, so a data acquisition and governance strategy needs to be built from the ground up.
When investing in turnkey data projects, it’s essential that you select and invest in the right technologies that meet current and future business growth strategies. This is offers exciting opportunities when unencumbered by huge legacy architecture and data issues.
This session will explore how agile FSIs are optimising their data acquisition and governance to enhance availability, transparency, efficiency and insights.
Speaking:
Brendan Ellis
Head of Data, Shawbrook Bank
Fionnán Alt
Head of Data Science & Analytics, CurrencyFair
Mahesh Bharadhwaj
Head of UK Borrower Analytics, Funding Circle
Discussion Group 2B: Overcoming Key Data Challenges in Smaller Organisations, Challengers & Fintech
October 15 | 14:25 - 15:10
Smaller or newer FSIs often don’t have an in-depth historical view of the customer or markets they operate in, so a data acquisition and governance strategy needs to be built from the ground up.
When investing in turnkey data projects, it’s essential that you select and invest in the right technologies that meet current and future business growth strategies. This is offers exciting opportunities when unencumbered by huge legacy architecture and data issues.
This session will explore how agile FSIs are optimising their data acquisition and governance to enhance availability, transparency, efficiency and insights.
Day 1 Track 4
2:25
Discussion Group 2C: Data Science as a Driver for Innovation within FSIs
This session will explore how to best operationalise data science techniques to act as a core driver for innovation, monetisation and cost savings. This includes exploring how data science can best meet internal and external customer needs.
The session will also look at finding the right balance between control and innovation for advanced analytics projects and prototyping / agile data science.
Speaking:
Hendrik Brackmann
Head of Data Science , Tide
Kaushalya Kularatnam
Head of Quantitative Surveillance & Technology, London Stock Exchange Group
Chris Spencer
Head of Data Solutions, Mudano
Discussion Group 2C: Data Science as a Driver for Innovation within FSIs
October 15 | 14:25 - 15:10
This session will explore how to best operationalise data science techniques to act as a core driver for innovation, monetisation and cost savings. This includes exploring how data science can best meet internal and external customer needs.
The session will also look at finding the right balance between control and innovation for advanced analytics projects and prototyping / agile data science.
3:10
Afternoon Coffee and Networking
Afternoon Coffee and Networking
October 15 | 15:10 - 15:40
Speaking:
3:40
Keynote Case Study: Using Regulatory Endeavours to Your Advantage - How Newly Created Data Function is Enhancing Business Insights Across Functional Areas from Regulatory Data Projects to Support the Bank’s Digital Transformation
- Exploring what’s working already. Identifying successful regulatory data products where value and insights can be disseminated to reduce risks
- Turning regulatory reporting into business information to drive operations and processes, reduce costs and automate controls
- Unifying data silos and warehouses across the organisation to add value; from regulatory to financial performance and increased revenue
Speaking:
Santiago Castro
Chief Data Officer , FBN Bank
Keynote Case Study: Using Regulatory Endeavours to Your Advantage - How Newly Created Data Function is Enhancing Business Insights Across Functional Areas from Regulatory Data Projects to Support the Bank’s Digital Transformation
October 15 | 15:40 - 16:10
- Exploring what’s working already. Identifying successful regulatory data products where value and insights can be disseminated to reduce risks
- Turning regulatory reporting into business information to drive operations and processes, reduce costs and automate controls
- Unifying data silos and warehouses across the organisation to add value; from regulatory to financial performance and increased revenue
4:10
Keynote Case Study: Leveraging Data to Enhance Risk and Regulatory Reporting – FRTB as an Example
- Gaining a deeper understanding of risk and changing risk profiles through data and analytics
- Proxying standards, overcoming data quality issues and mapping between Risk and Front Office
- Looking at risk, products and pricing on the back of this. How are modern FSIs responding?
Speaking:
Neels Vosloo
Head of EMEA Regulatory Risk, Bank of America Merrill Lynch
Keynote Case Study: Leveraging Data to Enhance Risk and Regulatory Reporting – FRTB as an Example
October 15 | 16:10 - 16:40
- Gaining a deeper understanding of risk and changing risk profiles through data and analytics
- Proxying standards, overcoming data quality issues and mapping between Risk and Front Office
- Looking at risk, products and pricing on the back of this. How are modern FSIs responding?
