Nicole is a Data Scientist & Quantitative Researcher currently working as Chief AI Officer & Head of Quantitative Research at quantmate. Alongside her roles in this organization, she also serves as an AI consultant, leading workshops and guiding companies from AI concept to deployment. As a guest lecturer, Nicole shares her expertise in Python, machine learning, and deep learning at various universities. She is a frequent speaker at AI and Quantitative Finance conferences and events. She is the author of Mathematics for Machine Learning with NLP and Python and Transformers in Action with Manning Publications, and the author of the (forthcoming) book Transformers: The Definitive Guide by O’Reilly Media.
This hands-on workshop delves into the theory and practical implementation of reinforcement learning (RL) in quantitative finance. Participants will gain insights into building reliable RL models for trading and portfolio management, explore real-world applications, and examine case studies from hedge funds and quant labs.
Session Breakdown (80 Minutes):
1. Introduction to Reinforcement Learning in Finance (10 minutes)
2. Building Reliable RL Models for Trading (20 minutes)
3. Real-World Applications (20 minutes)
4. Applications in Asset Allocation, Trade Execution, and Market Making (15 minutes)
5. Interactive Q&A and Discussion (15 minutes)
Open floor for participant questions.
Key Takeaways:
Check out the incredible speaker line-up to see who will be joining Nicole.
Download The Latest Agenda