Registration Opens, Coffee and Networking in the Exhibition Area
October 15 | 08:00 - 09:00
October 15 | 08:00 - 09:00
October 15 | 09:00 - 09:10
Speaking:
Chief Data Officer, Global Risk and Global Finance, HSBC
Speaking:
Governance & Integration - Senior Business Value Consultant Europe, IBM
Speaking:
Chief Data Officer , Bank of England
Head of Data, Natwest Markets
Head of Division, Data Management and Strategy, St James's Place Wealth Management
Head of Data, Shawbrook Bank
June 15 | 10:10 - 10:50
October 15 | 10:55 - 11:25
Speaking:
Chief Data & Analytics Officer, International Personal Finance
October 15 | 11:25 - 11:55
Speaking:
Previously, Global Data Management, Chief Operating Officer, Nomura
CDO Data Control Lead, BNP Paribas
Director of Credit Decisioning, NewDay
Chief Data Officer, IVIDATA
October 15 | 11:55 - 12:40
October 15 | 12:40 - 13:40
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:
Chief Data Officer , Bank of England
Chief Data Officer , FBN Bank
Co-founder & Chief of Strategy, Mudano
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
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:
Risk Operations Officer, Investec Bank PLC
Director of Credit Decisioning, NewDay
Vice President, Data & CX Technology Manager, Barclays
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?
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:
Head of Division, Data Management and Strategy, St James's Place Wealth Management
CDO Data Control Lead, BNP Paribas
Chief Client Officer, AxiomSL
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.
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:
Head of Analytics & Data Science, Direct Line Group
Previously, Global Data Management, Chief Operating Officer, Nomura
Chief Data Officer, Integrated Supply and Trading, BP
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.
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:
Head of Data, Shawbrook Bank
Head of Data Science & Analytics, CurrencyFair
Head of UK Borrower Analytics, Funding Circle
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.
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:
Head of Data Science , Tide
Head of Quantitative Surveillance & Technology, London Stock Exchange Group
Head of Data Solutions, Mudano
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.
October 15 | 15:10 - 15:40
Speaking:
Chief Data Officer , FBN Bank
October 15 | 15:40 - 16:10
Speaking:
Head of EMEA Regulatory Risk, Bank of America Merrill Lynch
October 15 | 16:10 - 16:40
October 16 | 08:00 - 08:50
October 16 | 09:10 - 09:20
Speaking:
Co-Head of the Research Innovation Lab, Citi
Managing Director, Strategic Programmes, Aon
Head of Data Product and Service Development Data Lab, Operations, Lloyds of London
October 16 | 09:10 - 09:55
Speaking:
Head of Business Intelligence, Banking Technology, Nordea
October 16 | 09:55 - 10:25
October 16 | 10:35 - 11:10
Speaking:
Head of Privacy, RBS
October 16 | 11:10 - 11:40
Speaking:
Head of Analytics & Data Science, Direct Line Group
Head of Privacy, RBS
Privacy & Data Protection Officer, Direct Line Group
October 16 | 11:40 - 12:25
June 16 | 12:25 - 13:30
The demands of specific regulations vary substantially by FSI sector, geography and function. This session will explore how regulatory and risk projects with strong data elements are being prioritised and being viewed as a value-add, as well sharing where data strategies are still driven by regulation at a time when budgets for projects can be scarce. We’ll look at some specific examples, where models are being used for both internal risk management and regulatory reporting.
Speaking:
Chief Client Officer, AxiomSL
Chief Data Officer for Prime Services Global & SGIL (UK), Societe Generale
Head of EMEA Regulatory Risk, Bank of America Merrill Lynch
Head of Risk Finance and Treasury Information Oversight, Barclays UK
October 16 | 13:30 - 14:15
The demands of specific regulations vary substantially by FSI sector, geography and function. This session will explore how regulatory and risk projects with strong data elements are being prioritised and being viewed as a value-add, as well sharing where data strategies are still driven by regulation at a time when budgets for projects can be scarce. We’ll look at some specific examples, where models are being used for both internal risk management and regulatory reporting.
Legacy data and systems are a huge challenge for many larger, mature or more complex financial services organisations. Legacy data also offers the opportunities to drive significant competitive advantages of substantial data repositories, more customers and a longer history for personalisation and digitisation projects.
This panel will explore how organisations are updating their systems and integrating data/analytics projects into existing systems. We’ll discuss roadmaps for legacy systems and where the gaps lie, as well as how to work within the boundaries of these systems to modernise reporting and insights. Or… should we just launch new challenger banks and Fintech businesses from scratch?
Speaking:
Director NFRM, Head of Data & Records Management Risk, Deutsche Bank
Head of Data, Natwest Markets
Chief Data Officer, Aldermore Bank
October 16 | 14:15 - 15:00
Legacy data and systems are a huge challenge for many larger, mature or more complex financial services organisations. Legacy data also offers the opportunities to drive significant competitive advantages of substantial data repositories, more customers and a longer history for personalisation and digitisation projects.
This panel will explore how organisations are updating their systems and integrating data/analytics projects into existing systems. We’ll discuss roadmaps for legacy systems and where the gaps lie, as well as how to work within the boundaries of these systems to modernise reporting and insights. Or… should we just launch new challenger banks and Fintech businesses from scratch?
October 16 | 15:00 - 15:10