23 September, 2025

6:00 PM IST

8:30 PM SGT

8:30 AM EDT

Tentative Speakers

Learn from the Pioneers who are shaping the Future of Algorithmic Trading
Tucker Balch
Tucker Balch

Professor of Finance, Emory University

Peter Cotton
Peter Cotton

Co-Founder & Chief Scientific Officer, Crunch Lab

Faisal Mohammed
Faisal Mohammed

Vice President, Trading Operations, Zerodha

Matteo Campellone
Matteo Campellone

Chairman & Head of Research, Brain

Dimitri Bianco
Dimitri Bianco

Head of Quantitative Risk and Research, Agora Data, Inc.

Prodipta Ghosh
Prodipta Ghosh

Vice President, QuantInsti

Tentative Event Schedule | 23rd September 2025

Tentative Event Schedule 23rd September 2025

8:30 AM EDT

6:00 PM IST

8:30 PM SGT

Workshop: Exploring Real-World Applications of AI, LLMs & GenAI in Trading
Get an inside look at how AI is being applied across the trading pipeline, from data processing and signal generation to portfolio execution and risk.
    More details to be announced soon.

    9:30 AM EDT

    7:00 PM IST

    9:30 PM SGT

    Panel Discussion: The Impact of AI & GenAI on Trading and Education: What to Expect in the Future
    A conversation with thought leaders from finance, fintech, academia, and the creator economy on how AI is transforming the landscape of trading and quant learning.
      More details to be announced soon.

      Who should attend?

      Aspiring Quants

      Learn how GenAI is transforming strategy design and market analysis.

      Finance Professionals

      Understand how AI is reshaping decision-making, risk, and research.

      Tech Experts & Coders

      Apply AI, ML, and LLM skills to build real-world trading systems.

      Students & Career-Switchers

      Explore new AI-driven roles and opportunities in quant finance.

      Register Now

      Meet the Speakers

      Tucker Balch

      Tucker Balch

      Professor of Finance, Emory University | Former Managing Director, JP Morgan

      Professor at Emory University’s Goizueta Business School, where he teaches and researches at the intersection of AI and finance. He formerly served as Managing Director at J.P. Morgan, where he founded and led the AI Research group, scaling it to over 100 researchers. A former professor at Georgia Tech, he has published over 120 peer-reviewed research papers, filed 40 patents and educated more than 170,000 students globally through online courses. Before academia, he served as a decorated F-15 pilot in the U.S. Air Force.

      Peter Cotton

      Peter Cotton

      Co-Founder & Chief Scientific Officer, Crunch Lab

      Peter Cotton is the Co-Founder and Chief Scientific Officer at Crunch Lab and creator of Microprediction, a decentralised prediction platform. With a Ph.D. in Mathematics from Stanford University, he has led quant and AI-driven research at firms like JP Morgan, Morgan Stanley, Intech, and ExodusPoint. Peter champions open-source innovation in statistical forecasting, algorithmic trading, and autonomous data systems. His work bridges cutting-edge machine learning with real-world trading applications.

      Faisal Mohammed

      Faisal Mohammed

      Vice President, Trading Operations, Zerodha

      Vice President, Trading Operations at Zerodha. With over 8 years at one of India’s largest and most innovative brokerage firms, Faisal brings deep expertise in operational strategy, compliance, and market infrastructure. He is an alumnus of Christ University, Bangalore. Starting as Associate VP and now leading Trading Operations, Faisal’s journey within Zerodha reflects his commitment to operational excellence and innovation in capital markets. Faisal brings a practitioner's perspective to the nuances of brokerage infrastructure, risk controls, and execution systems.

      Matteo Campellone

      Matteo Campellone

      Executive Chairman & Head of Research, Brain

      Matteo Campellone is the Executive Chairman and Head of Research at Brain | Algorithms, and CEO at Hermes Investimenti. He holds a Ph.D. in Physics from the University of Padova and an MBA from IMD. Matteo has led research, modeling, and investment strategy for major institutions and now focuses on applying explainable AI and data science to real-world asset management through Brain’s algorithmic platforms

      Dimitri Bianco

      Dimitri Bianco

      Head of Quantitative Risk and Research, Agora Data, Inc.

      Dimitri Bianco is the Head of Quantitative Risk and Research at Agora Data, Inc. and founder of Fancy Quant, a leading YouTube channel and consulting platform for quant finance careers. With experience across model development, risk, and research at major banks and startups, Dimitri is known for bridging complex financial concepts with accessible, practical guidance. He holds an FRM certification and a Master’s in Applied Economics from the University of Michigan.

      Prodipta Ghosh

      Prodipta Ghosh

      Vice President, QuantInsti

      Prodipta Ghosh is the Vice President at QuantInsti, where he leads the development of fintech products and platforms. With a strong background in quantitative trading, he has worked at Deutsche Bank as a Vice President, at Standard Chartered Bank as an Associate, and as a Scientist at the Defence Research & Development Organisation. Prodipta holds a PGDM from IIM Lucknow and a B.E. in Mechanical Engineering from Jadavpur University. His ability to connect finance theory with practical programming makes his quantitative trading sessions engaging and informative.

      Past Events

      Inside Algorithmic Trading: Navigating Data, Technology, and Strategy with Expert Guidance

      webinar video
      webinar video

      GenAI & Automated Trading Summit | Algorithmic Trading on MT5 & TradingView

      webinar video

      Trading Using LLM | Generative AI & Sentiment Analysis for Finance | Webinar

      webinar video

      Reinforcement Learning in Finance: Unlocking AI-Driven Trading Strategies with Dr. Paul Bilokon

      About QuantInsti

      About QuantInsti

      Built on 15 Years of Purpose: Learning, Building & Contributing

      QuantInsti offers one of the world’s most comprehensive ecosystems for Algorithmic & Quantitative Trading, offering educational and technological solutions to individuals and institutions. From a single flagship program to a growing ecosystem of research, tools, and technology, our journey has always been about enabling real-world impact.
      Over 15 years, we’ve grown into a global community of thousands of learners across 190+ countries, educators, engineers, fund managers, researchers, and founders, who now shape the way modern finance evolves.

      Executive Programme In Algorithmic Trading

      When you learn algorithmic trading with EPAT, you’ll be able to:

      • Develop your own automated trading system
      • Experiment with cutting-edge AI models
      • Analyze real-market data
      • Master advanced statistics and econometrics concepts
      • Get guidance to set up your own trading desk
      • Receive your quantitative trading certification online
      • Much More!

      120+

      Hours of Live Lecture

      20+

      Expert Faculty

      13,000+

      5 Star Ratings & Reviews

      190+

      Countries Reached

      300+

      Hiring Partners

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