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Event Date |
Thu Jun 6 CEST - Fri Jun 7 CEST (about 1 year ago)
In your timezone (EDT): Wed Jun 5 6:00pm - Thu Jun 6 6:00pm |
Location |
TBA
Amsterdam‚ The Netherlands |
Region | EMEA |
This conference will be an immersive exploration of prevalent issues and priorities of machine learning in quantitative finance, accompanied with deep dives into modern techniques and unparalleled solutions. Insights to gain include understanding the promising future of generative A.I, and how to get the maximum value out of datasets. In addition, this conference will delve into a practical examination of LLMs, alternative data, and effective approaches for success to remain ahead of the competition. Regulatory compliance, sustainability and quantum computing are also featured as key debates, to encourage a variety of perspectives, and allow participants to engage in highly interactive sessions for knowledge sharing. Participants will also develop an innovative mindset for machine learning technology in quantitative finance, which can enhance the ability to streamline and automate workflow processes. In a similar vein, the ability to act on data quality, structure and biases within ML represents great opportunities to seize, for transformative impacts within quantitative finance.
Our programs are unique, generated off the back of extensive research with more than 100 of the industry’s leading professionals, ensuring we cut through the noise to deliver the content most critical to you and your business. Our focus is to deliver a premium content platform that provides practical insights into how your peers in the industry are addressing the very same challenges you are facing today. Our goal is to ensure you walk away with actionable strategies you can implement within your business, adding tangible value to you, your products, and your customers.
2024 Speaker
Daniel Ung
Head of Quant Research and Analysis SPDR ETF Portfolio Solutions, State Street Global Advisors
Thomas Raffinot
Head of Quant Investment Signals, AXA
Brice Benaben
Head of Rates and Quantitative Research, JP Morgan
Caio Natividade
Managing Director, Global Head of Quantitative Investment Solutions Research, Deutsche Bank
Nicole Königstein
Chief Data Scientist and Head of AI & Quantitative Research, Wyden Capital AG
Roberto Bartolomei
Head of Alternative and Quantitative Investment Solutions, BNP Paribas
Karim Jadallah
Head of Quant Hub, UBS
Hamza Bahaji
Head of Financial Engineering and Investment Solutions, Amundi
Alejandro Rodriguez Dominguez
Head of Quantitative Analysis, Miralta Bank
Danilo Barretta
Quantitative Market Risk Senior Specialist, Intesa Sanpaolo
Maximilian Stroh
Managing Director, Head of Research, Quoniam Asset Management
Sebastian Schneider
Quantitative Equity Researcher, Robeco