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Quant Finance


last update : 16/09/2015

QuantInsti's Executive Program in Algorithmic Trading




Executive Program in Algorithmic Trading is a 6-month’s long online program in Algorithmic and Quantitative trading  offered by QuantInsti Quantitative Learning.

QuantInsti is one of Asia’s pioneer Algorithm Trading Research and Training Institutes focused on preparing financial market professionals for the contemporary field of Algorithmic and High Frequency Trading. With the financial markets in emerging markets rapidly evolving like developed markets; we foresee a disruptive change in the emerging markets’ landscape wherein exchange volumes to the tune of 70% and above will be generated by Algorithmic Trading.

QuantInsti institute developed the curriculum for the Asia’s first Executive Programme in Algorithmic Trading (E-PAT) in 2009. As an initiative by financial markets professionals with stellar academic and professional credentials, the program aims to fulfil the pressing demands for highly specialized skill sets of a potentially lucrative domain. QuantInsti opened the doors to global participants in 2012 by introducing virtual classrooms for its flagship E-PAT course and have seen participation from all inhabited continents since then.


Course Background

The Executive Program in Algorithmic Trading at QuantInsti provides high-level training for individuals working in, or intending to move into the buy or sell-side of business focusing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management. The program is built around a fully examined core of three modules:

  • Quantitative Trading
  • Statistics & Econometrics
  • Financial Computing & Technology

The course covers all aspects of the theory and practice of quantitative tools, products, and methods.


The course enables the high-achieving capital markets professionals and individuals interested in learning about the markets to attain the benefits and networking power of the Executive Programme in Algorithmic trading. Over past 4 years, the alumni network has grown to include more than 250 successfully placed individuals from all six continents working in this domain.

 Key Elements:

  • E-PAT spans over a period of 4 months training & 2 months project work
  • 6 hrs of lectures on Saturday & Sunday
  • Specialize in an asset class and/or trading strategy through the project work
  • Collaborative ONLINE learning environment - learn from fellow batch mates & faculty



The faculty members of QuantInsti are experts in the field of Algorithmic & High Frequency Trading, pioneers in Asian markets with experience and knowledge of international exchanges and regulations. The programme provides a unique chance to its participants to work under the mentorship of the world-class faculty for hands-on training in designing and implementing of advanced algorithmic trading strategies on state-of-the-art tools and platforms. 

Speakers include

Mr. Anil Yadav: Head of department for Advanced Statistics

Mr. Gaurav Raizada: Expert in Market Microstructure

Mr. Nitesh Khandelwal: Expert in Business Operations

Mr. Rajib Ranjan Borah: Head of department for training in options and derivatives

Mr. Sameer Kumar: Expert in Low Latency Systems Programming

Mr. Shaurya Chandra: Expert in Futures Trading Strategies

Mr. Sunith Reddy: Expert in Algorithms and Unconventional models of computing




Quantitative Trading

  • Statistical Arbitrage
  • Market Making Strategies
  • Execution Strategies
  • Forecasting & Artificial Intelligence Based Strategies
  • Machine readable News based Strategies
  • Trend following Strategies
  • Option Pricing Models
  • Time Structure of Volatility
  • Dispersion Trading
  • Volatility Forecasting & Interpretation
  • Managing Risk using Greeks
  • Position Analysis
  • Order Book Dynamics
  • Market Microstructure
  • Hardware & Network
  • Regulatory Framework
  • Exchange Infrastructure & Financial Planning (Costing)


Statistics & Econometrics

  • Probability & Distribution
  • Statistical Inference
  • Linear Regression
  • Correlation vs. Cointegration
  • Multiple Regression
  • Stochastic Math
  • Causality & Forecasting


Financial Computing & Technology

  • Intro to Programming Languages
  • Programming on Algorithmic Trading Platforms
  • Low Latency Programming
  • System Architecture
  • Understanding and Algo Trading Platform
  • Handling HFT Data
  • Excel & VBA
  • Financial Modeling using R
  • Using R & Excel for Back-testing


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What is the programme duration?

Ans: EPAT is a 6 months long online course with 100+ hours lecture duration. The first four months are course work and last two months are dedicated to the project work. The project work requires the student to create an algorithmic trading strategy, back-test it on historical data, code it on advanced algorithmic trading platforms and then test it on market like situations using a simulator.


What are the class timings?

Ans: For the first four months in the course, you will have two live sessions every weekend where each session is 3 hours long. The live sessions on Saturdays and Sundays are either between 10.30 a.m. to 1.30 pm OR 2.30 pm to 5.30 pm (all timings are in Indian Standard Time).


How are the online classes conducted?

Ans: The online classes are conducted through the webinars or web-meetings. In these sessions, the faculty and participants join in an audio conference through VoIP and the faculty’s desktop is shared with the students. The participants are encouraged to use microphones or chat windows to interact with faculty and fellow participants.


What are system requirements for a participant?

Ans: A computer with internet connection (min 300 kbps) and speakers are necessary. To view the recorded videos seamlessly, we recommend students to have broadband connection with at least 1Mbps speed. Having a microphone is optional.


Are there classroom classes?

Ans: Classroom lectures are conducted in our Mumbai or Singapore locations. You’ve the choice to attend it online anywhere or in the classroom in Mumbai.


Are the lecture recordings available?

Ans: Yes, every lecture is recorded and the recording is made available within 24 hours of the lecture completion. The participants are encouraged to re-view the lectures to maximize the benefits.



What are the pre-requisites to joining this programme?

Ans: Participants should have background in quantitative disciplines such as mathematics, statistics, physical sciences, engineering, operations research, computer science, finance, or economics.


How can I apply for the programme?

Ans: Send us a mail at expressing with your interest in the programme along with your latest resume copy. We will mail you the admission procedure details along with other useful information.


How can I apply for the programme?

Ans: a. Classroom lectures are conducted in our Mumbai or Singapore locations. You’ve the choice to attend it online anywhere or in the classroom in Mumbai.


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