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Recent Development in Deep Learning in Finance

Speaker: Harsh Prasad

CQF Institute is proud to bring you a free online talk with Harsh Prasad on Recent Development in Deep Learning in Finance

This event can earn you upto 2 CPD credits.

Abstract

This talk aims to provide a literature survey of published use cases and research papers on use of machine learning in finance and how it is helping re-focus the financial sector to its fundamental purpose. The discussion will in particular focus on recent developments in deep learning applications and put a spotlight on some of the relevant research in deep learning and reinforcement learning. Other aspects like generating synthetic data, text analytics, transfer learning and explainability of deep learning models will also be discussed. This talk will conclude with thoughts on governance framework, evolving regulatory landscape and some ethical questions about use of these models.

Speaker's Bio

Harsh is a CQF Alumnus and graduated from the CQF in 2016. He is currently with Morgan Stanley in their Quant Analytics Group, but started his career as a programmer focused on developing data driven algos in the areas of speech recognition, image processing and bioinformatics. He then moved to financial risk management and over the last 12 years has worked in various roles with several organizations through the life cycle of models. In these roles, Harsh has been continuously enthusiastic to applying machine learning in problems related to behavioural assumptions, data quality, recommender systems, model benchmarking, and text analytics. His current role requires him to review all Machine Learning models used by the firm and provide direction to shaping AIML governance framework and strategy. He is also a visiting lecturer with universities and training institutions for machine learning and deep learning.