Name: AI and Data Science in Trading 2019 UK
From: 16 Sep 2019
To: 17 Sep 2019
Address: 155 Bishopgate,
London, United Kingdom
Key speakers: Saeed Amen, Founder, Thalesians Ltd Michael Beal, CEO, Data Capital Management Afsheen Afshar, Managing Director, Goldman Sachs & Company Peter Hafez, Chief Data Scientist, Ravenpack Marcos dePrado, Senior Managing Director, Guggenheim Partners David Hand, Chief Scientific Advisor, Winton Capital Management Roland Fejfar, Vice President of FinTech IBD, Morgan Stanley Claudi Camps, Deep Learning Specialist, ABN AMRO Clearing Bank N.V. Mark Ainsworth, Head of Data Insights, Schroders Vadim Kanofyev, Quantitative Researcher, Bloomberg L.P. Tomaso Aste, Professor of Complexity Science, University College London Charles-Albert Lehalle, Senior Research Advisor, Capital Fund Management Tony Guida, Executive Director - Senior Quant Research, RAM Active Investments Blanka Horvath, Lecturer, Financial Mathematics Group King's College London David Jessop, Managing Director and Global Head of Equities Quantitative Research, UBS Pavan Arora, Chief AI Officer, Aramark John Ashley, Director of Global Financial Services Strategy, NVIDIA Jakob Aungiers, Head of Systematic Market Making, Quantstellation Capital Mark Awada, Chief Risk & Data Analytics Officer, Alpha Innovations Prasenjeet Bhattacharya, Lead Data Scientist - Multi Asset, NN Investment Partners Irina Bogacheva, Head of Multi-Asset Research, QS Investors Kevin Bourne, Former Global Head of Sustainable Investment, FTSE Russell Chris Camillo, Social Arbitrage Investor, TickerTags by M Science Hugh Christensen, Founder & Head of Research, BMLL Technologies Katya Chupryna, SPRINT (Spread Products Investment Technologies), Citi Peter Davaney-Graham, VP of Product Strategy, FactSet Alexander Denev, Head of AI - Financial Services Advisory, Deloitte Gene Ekster, Co-Founder, Alternative Data Group Clayton Feick, Global Head of Sales, Quandl Tristan Fletcher, Chief Executive Officer, ChAI Mark Fletcher, Managing Director, Cardinal Analytics Maurizio Garro, Senior Manager of Market Credit & Risk, Lloyds Banking Group Laurent ElGhaoui, UC Berkeley EECS Professor & Chief Scientist, SumUp Analytics Gary Goldberg, Chief Executive Officer, qdatus Sebastien Guglietta, Co-Head of Computational Intelligence Systematic Strategies, Brevan Howard Jonathan Guthrie, Head of Lex Column, Financial Times Elliott Hann, Executive Director of Data Solutions, UBS Investment Bank Glen High, Quantitative Analyst, Ostrum Asset Management Marcus Hooper, Domain Expert, GFT Niall Hurley, Director of Business Development, Eagle Alpha Syed Husain, Chief IT Architect, BCG Platinion Apurv Jain, Visiting Researcher, Harvard Business School Gary Kazantsev, Head of Quant Technology Strategy, Bloomberg William Kelly, Chief Executive Officer, CAIA David Kemp, Group Head of Compliance, GAM Investments Emmett Kilduff, Founder, Eagle Alpha Anjelika Klamp, Managing Director, CITE Investments Sue Lai, Head of Product, DataCamp Anthony Ledford, Chief Scientist, Man AHL Sam Livingstone, Head of Data Science, Jupiter Asset Management
Web page: https://www.aidatatrading.co.uk/
Pricing: - variable
Description: The world of Capital Markets is changing. Soon there will be no room for traditional players without digital capabilities – markets will become increasingly efficient and the margin pool will shrink. Being the first to deploy a winning strategy from a particular data set (or group of data sets) requires asset managers to learn, build and master the latest computing techniques.
Artificial Intelligence and Data Science in Trading provides senior management from funds - fundamental to systematic - and investment banks with the latest tools and techniques to maximize margins and discover a competitive edge.
By attending, you will learn from 95 world-class speakers, from leading asset management companies, academia and technology providers. With over 400 attendees from all over the world, this is the most important gathering worldwide fully focused on AI techniques for alpha discovery, optimising portfolios and managing risk.
In addition to the individual speaker sessions and panel debates, the many networking opportunities allows you to meet with peers and international experts whose focus and challenges are completely aligned with yours.
Technology is now a critical competitive differentiator in capital markets. By attending the AI and Data Science in Trading event you will be part of an independent and impartial platform, providing a full and unbiased reflection of what matters in the market. Don’t miss the opportunity to network with 400+ C-level decision makers, asset management companies, funds and investment banks, who are looking to share their business challenges with their peers and to find cutting-edge solutions.
to receive monthly newsletter with news & upcomming events