September 24, Tuesday

8:30 AM EDT

6:00 PM IST

8:30 PM SGT

Meet the Speakers

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

Peter Hafez
Peter Hafez

Chief Data Scientist, RavenPack

Paul Bilokon
Paul Bilokon

Visiting Professor, Imperial College

Yashas Khoday
Yashas Khoday

Co-Founder & CTO, FYERS

Kyle Balkissoon
Kyle Balkissoon

Managing Partner & Portfolio Manager, Stance Capital

Nitesh Khandelwal
Nitesh Khandelwal

CEO & Co-founder, QuantInsti

Event Schedule | 24 September

Event Schedule
24 September

8:30 AM EDT

(6:00 PM IST)

(8:30 PM SGT)

Paul Bilokon
[Workshop]: Machine Learning Applications in Quant Trading
Join our experts for an engaging workshop on integrating AI and ML into your algorithmic trading practices. Explore new opportunities and overcome challenges with cutting-edge technology.

Hands-on Workshop:
Get a walk-through of Jupyter Notebook which includes financial markets data analysis, model development, results, profitability, and more.

Live Questions & Answers:
Get your queries resolved by the world's leading experts in the domain in a live interactive fashion.


10:00 AM EDT

(7:30 PM IST)

(10:00 PM SGT)

Kyle Balkissoon Peter Hafez Yashas Khodey Nitesh Khandelwal
Algorithmic Trading and How to Stay Ahead!
Gain exclusive insights from industry leaders as they discuss the power of algorithmic trading. Dive deep into actionable strategies and the latest trends.

Developing Trading Ideas: Unlock innovative strategies to stay ahead in the market.

Finding Trading Ideas: Discover the best sources to generate high-potential trading ideas.

Assessing Trading Strategies: Learn how to evaluate the effectiveness of different trading strategies.

Data Sources for Analytics: Explore essential data sources for analytics, backtesting, and live trading.

Who should attend?

Discretionary Traders

Aiming to benefit from data-driven finance

Systematic Traders

Seeking to expand their business with quantitative techniques

Financial Analysts & Quants

Wanting to apply their expertise in financial markets

Investment Enthusiasts

Eager to explore innovative trading methods

Register Now

About the Speakers

Peter Hafez

Peter Hafez

Chief Data Scientist
RavenPack

Peter Hafez is the Chief Data Scientist and Partner at RavenPack, a leading big data analytics provider for financial services. He spearheads the company's data science strategy and product development. His expertise spans quantitative research, natural language processing, alternative data, and machine learning. Additionally, Peter serves on the Advisory Board for Alpha Events conferences focused on "AI and Data Science in Finance.” Peter is on a mission to innovate, create, and communicate value-adding data science solutions for the financial sector.

Paul Bilokon

Paul Bilokon

Visiting Professor
Imperial College London

Paul Bilokon is the CEO and Founder of Thalesians Ltd, and he leads the faculty at both the Machine Learning Institute (MLI) and the Quantitative Developer Certificate (QDC). He has co-authored books such as "Machine Learning and Big Data with KDB+/Q" (Published with Wiley Finance) and "Machine Learning in Finance: From Theory to Practice" (Published with Springer Link). Previously, Paul held significant roles at Deutsche Bank, Morgan Stanley, Lehman Brothers, Nomura, and Citigroup, including Head of MET Credit Quants.

Yashas Khoday

Yashas Khoday

30 Under 30
BW BusinessWorld Magazine

Yashas is the CTO & Co-Founder of FYERS, arguably one of India's leading stock brokerage firms. FYERS has more than 600,000 clients from across the country. FYERS was registered with the National Stock Exchange of India in 2014, making Yashas the youngest stockbroker in the country. Within his successful entrepreneurial journey, he takes time to learn and upskill himself. He joined QuantInsti’s flagship Executive Programme in Algorithmic Trading in 2016 and has also completed an executive course at the Indian Institute of Management, Bangalore in 2022.

Kyle Balkissoon

Kyle Balkissoon

Managing Partner & Portfolio Manager
Stance Capital

Kyle Balkissoon is an expert in data science, big data, forecasting and optimization, and portfolio management. He has a proven record of leading technical and business teams and transitioning models from proof of concept to production value. Notably, Kyle has developed investment and trading strategies that have outperformed the S&P 500 over five years, earning five stars from Morningstar. He previously worked with IBM. Kyle has launched 3 start-ups, spanning investment management, renewable energy and marketing.

Nitesh Khandelwal

Nitesh Khandelwal

Co-founder
QuantInsti & iRage

Nitesh Khandelwal is presently the CEO of QuantInsti, an institute that he co-founded in 2010 as part of iRage. He co-founded iRage in 2009 and oversaw its growth to become one of India's leading players in the Algorithmic Trading space. Nitesh has delivered lectures and workshops at various International Exchanges, including SGX, SET, and Bursa Malaysia. He has also been a guest lecturer at institutions such as NUS Singapore, NTU Singapore, IIT Delhi, IIT Kanpur, and IIM Ahmedabad. Nitesh is an alumnus of two of the most prestigious institutions in Indian IIT Kanpur and IIM Lucknow.

Past Events

How to Lose Money Trading Options | Dr. Euan Sinclair | Algo Trading Conference

webinar video
webinar video

Artificial Intelligence for Portfolio Management | By Dr Thomas Starke

webinar video

What is Corrective AI and how it can improve your investment decisions | Dr Ernest Chan

webinar video

The Ultimate Guide to Momentum Trading: Mastering Low and High Frequency Techniques

About QuantInsti

About QuantInsti

Founded by partners of iRage, One of Asia's Leading Algo Trading Firm

QuantInsti offers one of the world's most comprehensive ecosystems for Algorithmic & Quantitative Trading. Since 2010, QuantInsti has contributed to the trading journey for millions of people from 190+ countries. We assist professionals in learning and building expertise in the domain. We enable institutions to offer algorithmic trading tools to millions of their users by leveraging QuantInsti's institutional-grade technology & its trading platform

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

10,000+

5 Star Ratings & Reviews

90+

Countries Reached

300+

Hiring Partners

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