Director, Statistical Machine Learning
Product Management Director
Co-Founder & Data Scientist
The Financial Times
Head of Product & Marketing
Co-founder & Chief Scientist,
Hanken School of Economics
Digital Innovation Project Manager
University College London
"Classification-based Financial Markets Prediction using Deep Neural Networks". In this paper Diego Klabjan helps describe how DNNs are used to predict movements in the financial market by explaining the configuration and training approach and demonstrating the application strategy.Read More
Alpaca's mission is to democratize the institution-level digital asset management in capital markets such as quantitative financial analysis and trading automation using Artificial Intelligence. We currently provide a product called Capitalico, which helps traders build automated trading algorithms without any lines of programming code by simply highlighting the similar patterns in the historicalRead More
"RiskRank: Measuring Interconnected Risk". Peter Sarlin proposes a joint measure of cyclical and cross-sectional systemic risk using RiskRank which is employed to aggregate risk measures. The paper provides an estimation of systemic risk from country-level risk and cross-border linkages.Read More
Discover advances in deep learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.
Learn about deep learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.