Event detail

Name: Machine Learning & AI in Quant Finance Conference London 2018

From: 15 Mar 2018

To: 16 Mar 2018

Address: London, United Kingdom

Organizer: QuanTech

Key speakers: Saeed Amen, Founder, Thalesians Ltd Ediz Ozkaya, Executive Director & Machine Learning Strategist, Goldman Sachs Lawrence Edwards, Executive Director, Morgan Stanley Miquel Alonso, Executive Director, UBS Abdel Lantere, Data Scientist & Quantitative Consultant, HSBC Paul Bilokon, Senior Quantitative Consultant, BNP Paribas Claudi Camps, Deep Learning Specialist, ABN AMRO Clearing Bank N.V. Daniel Drummer, Vice President of Corporate & Investment Bank FinTech, J.P. Morgan Marleen Meier, Quantitative Risk Analyst & Data Visualization, ABN AMRO Clearing Bank N.V. William McGhee, Global Head of Quantitative Analytics, NatWest Markets Mariano Zeron, Head of R&D, MoCaX Intelligence Andrés Hernández, Manager of Financial Services Risk Consulting, PwC

Web page: http://quantechconference.com/

Pricing: - variable

Description: Program:
Overcoming the Trade-off: Predictive Power vs. Expressiveness of Machine Learning Models
Machine Learning: History and Implications for Quantitative Finance
Reliable Machine Learning
“Black-box Machine Learning: Improving Transparency”.
Machine Learning Models
Fast MVA Optimisation using Chebyshev Interpolants
Machine Learning – Recent Trends and Applicability to Risk and Related Areas
Machine Learning & Ai in Quantitative Finance Panel
Machine Learning, High-Frequency Trading and Kdb+/q for Quants and Data Scientists
Practical Aspects of Applying Deep Learning for Market Making
Unsupervised Anomaly Detection in Finance
Machine Learning at Central Banks
Co-creating Machine Learning solutions within a global Corporate & Investment Bank
Using Big Data to Trade FX
Machine Learning & Event Detection for Trading Energy and Metal Futures

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