Accelerating business growth through data driven decision making, operational efficiency and customer engagement
Due to the sheer volume of data the financial services sector generates from customers, transactions, global trading, and many other sources, it is currently one of the most risk laden sectors.
This has put the FS sector under increased scruitiny from regulatory bodies to remain compliant, resulting in the on-going pressure for effective information governance.
But this has also created an opportunity to improve competiveness and drive business growth. The sector has continued to use data to detect and manage the increase in fraud and financial crime, develop competitive pricing, manage risk & compliance as well as make strategic business decisions. But now, the shift has also moved towards innovation, and data is being leveraged to develop new and personalised products and services via better customer segmentation and analysis.
Ultimately, competitiveness and revenue growth can only be achieved by maximising your opportunities in all of these areas.
Returning for its 6th year,
Big Data & Analytics Financial Services has established itself as the must-attend annual forum for big data professionals, and will continue to deliver the industry-leading insight, proven case studies and the opportunity to network with the most innovative players in this space.
Improve competitiveness, increase revenue and drive down costs by learning how to:
- Create new business opportunities, develop new products and drive innovation
- Balance strategy with daily management responsibilities to help you manage time effectively
- Detect and manage fraud effectively through machine learning and adaptive models
- Develop a personalised pricing model to maximize profitability and improve customer experience
- Leverage AI, Machine Learning and Robotic Process Automation to drive down and optimise processes
- Drive customer loyalty and increase spending through customer and behavioural analytics
2018 Speakers:
- David Laramy, Director, Head of Fraud Strategy & Analysis, Capital One
- Kyle Roberts, Fraud Data Analysis Manager
- Andrew Carr, Data Engineering Lead, Scott Logic
- Bob Spencer, Head of Claims Counter Fraud, Direct Line Group
- Juan Amador, Global Head Financial Crime Risk Technology Strategy, HSBC
- Harvinder Atwal, Head of Data Strategy and Advanced Analytics, Moneysupermarket.com
- Seph Mard, Head of Model Risk Management, DataRobot
- Greg Michaelson, General Manager of Banking, DataRobot
- Steve Jackson, Head of Financial Crime & MLRO, Covea Insurance
- Martin James, Regional Vice President, Northern Europe, DataStax
- Bas Geerdink, Technology Lead, ING
- Mark Whitehorn, Professor of Analytics, University of Dundee
- Orlando Machado, Director, Customer Analytics and Data Science, Aviva
- Simon Adams, Strategic Data Management Director, Towergate Insurance
- Stephen Magora, Director, Data Analytics, Credit Suisse
- Karthik Rajaraman, Financial Services Data Management Professional
- Richard Summers, Research Director, Centre of Cambridge Scalable Psychology
- Nsemeke Ukpong, IT Chapterlead, ING
- Dan Fiehn, Group IT Director, Markerstudy Group
- Rahul Pal, Technology Consultant, Bank of England
- Neil Taylor, Head of Data and Systems, Liv-Ex
Please fill in your name and email to receive the conference agenda of this event.
Conference Day One - Wednesday, 4th July, 2018
Conference Day Two - Thursday, 5th July, 2018
The agenda is available as PDF under downloads at the right side of the page.
Venue
Hilton London Kensington
179-199 Holland Park Ave, Kensington, W11 4UL
London, UK
Venue
Hilton London Kensington179-199 Holland Park Ave London W11 4UL
United Kingdom
Website:
http://www3.hilton.com/en/hotels/united-kingdom/hilton-london-kensington-hotel-LHRHITW/index.htmlPhone: 44-207-603-3355
AccommodationTravel and accommodation are not included in the conference fee; however we have put together a HotelMap that displays discounted accommodation for hotels in the area near to Big Data Analytics for Financial Services 2018. The map displays live availability and allows you to book directly with each hotel:
https://www.HotelMap.com/pro/MA79DPlease note: We will never recommend, approve or appoint any third party rooming service to act on our behalf. Please be extremely wary if you are approached by any such companies. We will always endeavour to negotiate the best available rates for you so please use the HotelMap link provided; this shows live availability and rates for all hotels in the area and allows you to book directly with the hotel of your choice within your budget.
