Hariom Tatsat

Hariom Tatsat

Democratizing Financial AI


Professional Experience
2017 - Present
Barclays

Vice President at Barclays Investment Bank, NY

Leading data-driven decision-making using statistics, machine learning and AI.

2014 - 2016
FAB

Desk Quant at First Abu Dhabi Bank (FAB)

Pricing and hedging of Financial Instruments for exotic rates and credit desk. Used financial mathematics for data driven decision-making.

2012 - 2014
RBS

Senior Quant at RBS

Led Counterparty Credit Risk and CVA Quant teams. Worked on simulation on Big-Data for Financial decision making.

2010 - 2012
Nomura

Associate at Nomura

Pricing and hedging of Financial Instruments for credit derivatives desk.

Speaking
AI Use Cases
Harnessing data for AI Use Cases in Finance by Hariom Tatsat
Data Science Salon
Reinforcement Learning Interpretability
Spotify Podcast
Podcast - Reinforcement Learning in Finance
YouTube Webinar
Webinar on AI and Machine Learning in Finance
YouTube ML in Finance
Machine Learning in Finance
Speaker at AI summit Newyork 2024
Speaker at AI Summit NewYork 2024
YouTube RL for Trading
Reinforcement Learning for trading
CQF Institute
CQF Institute Presentation
AI Fin NYC
Navigating the Realities of AI in Financial Services
Spotify Podcast ML
Podcast - Machine Learning in Finance
Media Mentions
Chicago Journal Article
A Quant Striving to Bridge the Worlds of Finance and ML
Economic Insider Article
Unveiling the Next-Gen of Generative AI and ChatGPT in Finance
CEO Weekly Article
A Remarkable Journey: From a Small Town in India to Wall Street
AIM Research Article
Adoption of AI/Gen AI in Finance with Hariom Tatsat
US Insider Article
Bridging the Gap Between ML and Finance
Outlook India Article
Journey Of Financial Innovation Through AI And ML
San Francisco Post Article
The Future is Here: How AI Will Transform Investment and Asset Allocation
NY Wire Interview
Up and Close Interview with Hariom Tatsat
NY Weekly Article
Reinforcement Learning: The Untapped Frontier in Algorithmic Trading
Articles and Posts
Adoption of AI/Gen AI in Finance with Hariom Tatsat
AI and GenAI in Finance
LLM Interpretability in Finance
Inside the Black box: LLM Interpretability in Finance
Bloomberg GPT AI
Is BloombergGPT the ultimate AI-based solution for finance-related tasks?
AI in Portfolio management
AI in Portfolio management
Reinforcement Learning in Finance
Reinforcement Learning in Finance
Courses and Workshop
ML in Finance Course
Machine Learning in Finance
Algo Trading Course
Algo Trading Multiverse
AI Finance Masterclass
AI and Generative AI for Finance Masterclass (Online Interactive Workshop)
ISB Programme
Advanced Programme in Leadership and Digital Innovation
Books and Papers
O'Reilly Book
Co-author of the book published in December 2020 by O'Reilly.
Robust Risk-Aware Reinforcement Learning
Robust Risk-Aware Reinforcement Learning
Beyond the Black Box: Interpretability of LLMs in Finance
Beyond the Black Box: Interpretability of LLMs in Finance
Deep Q-Network Interpertability: Applications to ETF Trading
Deep Q-Network Interpertability: Applications to ETF Trading
Awards
Indian Achievers Forum Award
Award for outstanding professional achievement and contribution to nation building, presented by the Indian Achievers’ Forum.
Arxiv Publication RDEU
Robust risk-aware RL using RDEU and Wasserstein distance to optimize financial decisions under uncertainty and downside risk.
SSRN Publication Interpretability
Interpretability framework for Deep Q-Learning applied to ETF trading, enabling visual, user-friendly insights into RL decision-making processes.
SSRN Publication Risk Tolerance
Analyzing investor risk tolerance using machine learning to correct biases, adapt to market changes, and optimize long-term asset allocation.