The marcus evans Machine Learning in Quantitative Finance conference taking place on 5-7 June, 2024 in Amsterdam, the Netherlands will enable you to discover new strategies for effective model validation, and monitoring in the era of Artificial Intelligence (AI) and machine learning. Moreover, you will be able to engage with industry leaders to understand the complexities of non-credit model handling and the necessary skill sets for today's evolving risk environment. Finally, you will delve into discussions on integrating advanced models within regulatory frameworks and learn how to navigate the ethical considerations and risks associated with these technologies.
Key Topics include:
- Promising visions of AI in Quant Finance.
- Overcome limitations of ML and hinderances to the speed of adoption.
- Alternative data – is it at the stage of making money?
- Anticipate the rise of LLMs/NLP in Quant Finance.
- Personalise Machine Learning to improve customer experience, revenue, and next action calculations.
- Seamless integration of ethical investing and ESG with use of ML.
Best Practices and Case Studies from:
- Thomas Raffinot, Head of Quant Investment Signals, AXA
- Roberto Bartolomei, Head of Alternative and Quantitative Investment Solutions, BNP Paribas
- Nicole Königstein, Chief Data Scientist and Head of AI & Quantitative Research, Wyden Capital AG
- Karim Jadallah, Senior Managing Quant Consultant, UBS
- Sebastian Schneider, Quantitative Equity Researcher, Robeco
- Alejandro Rodriguez Dominguez, Head of Quantitative Analysis, Miralta Bank
For more information please contact Ria Kiayia at riak@marcusevanscy.com or visit: https://bit.ly/4cpcCu6
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