Application of Machine Learning in Finance

Over the next few decades, machine learning and AI will transform the finance industry. According to several reports and studies, many new roles in AI and Machine Learning will come up and conventional finance jobs might slowly fade away. So, professionals and quants need to reinvent themselves to align with the requirements of the market.

In this Masterclass, Hariom will discuss the current and future landscape of Machine Learning and data science in Finance, how ML and AI is used across different areas of finance and how they can complement traditional finance. The discussion will also cover a tailored toolkit designed for finance and how it empowers industry professionals to revamp their skills, referencing his book, “Blueprints for Machine Learning and Data Science in Finance.” The talk aims to assist quants and professionals in staying current and fostering the democratization of Machine Learning and data science within the finance sector.

Attendees will become eligible for exclusive SEED Business Leadership Scholarships worth upto $5,000 and SEED Women in Leadership Scholarship worth $5,000.

Hariom Tatsat

Vice President, Barclays - New York

Hariom Tatsat currently works as a Vice President in Quantitative Analytics at Barclays in New York. Hariom has extensive experience as a Quant in the areas of financial instrument pricing and algorithmic trading in several global investment banks and financial organizations. He completed his Master of Financial Engineering at UC Berkeley and his BE at IIT(India). He has co-authored a book called “Machine Learning and Data Science Blueprints for Finance” and has published several influential papers centered around AI, Machine Learning and its applications in quantitative finance. He is a frequent speaker at global conferences on the topics related to the latest trends in AI-driven financial models and is a recognized thought leader in the community.

About the Masterclass

About the speaker