Indian Institute of Quantitative Finance
Center of Finance Excellence - Quantitative Finance and Risk Management
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Current Courses 
Certificate Program in Algorithmic Trading (CP-AT)
3 Months (Part Time)
The Financial Markets the world over have seen a major paradigm shift in how trading is done. Algorithmic Trading (abv. Algo Trading) also known as Program Trading or Automated Trading, essentially implies that the trading is done by computer programs. Currently a vast majority of the trades in some of the markets are algorithmic in nature.
These algorithms depend on advanced techniques for formulating trading strategies, detection of profitable trade opportunities, generating trade signals, generating the trades and trade order execution. At each stage there is extensive use of technologies. The algorithmic trading has replaced lot of the trading that was earlier done manually.
Algorithm Trading, both High-Frequency as well as Low Frequency is now a very lucrative career. A breed of traders known as the Algo-Traders has emerged who have certain skill-sets that are much sought after in the industry.
The Financial Markets the world over have seen a major paradigm shift in how trading is done. Algorithmic Trading (abv. Algo Trading) also known as Program Trading or Automated Trading, essentially implies that the trading is done by computer programs. Currently a vast majority of the trades in some of the markets are algorithmic in nature.
These algorithms depend on advanced techniques for formulating trading strategies, detection of profitable trade opportunities, generating trade signals, generating the trades and trade order execution. At each stage there is extensive use of technologies. The algorithmic trading has replaced lot of the trading that was earlier done manually.
Algorithm Trading, both High-Frequency as well as Low Frequency is now a very lucrative career. A breed of traders known as the Algo-Traders has emerged who have certain skill-sets that are much sought after in the industry.
Course HighlightsLive Trading experience in real market
Training in Simulation Lab
Code Your Own Strategies into Algos
Training on industry leading algorithmic trading platforms
About the Course Who Should Attend| Fresh Graduates | Management Students | Finance Professionals |
| Dealers | Prop Traders | Arbitrageurs |
| Retail Traders |
Course Details| Duration | 3 Months (Part Time) |
| Schedule | Saturdays and Sundays |
| Start Date | 15th January, 2022 |
| Course Fee | INR 54000 / USD 800 for participants registering from outside India |
| Eligibility | Graduate degree in science / economics / commerce / engineering / managament |
Brief Course Outline| Introduction to Algorithmic Trading and Quantitative Trading | Technical Trading Strategies |
| Options Trading Strategies | Strategy Development and Back-testing |
| Money Management and Risk Management | Algorithmic System Design and Implementation |
Algorithmic Trading LabBoth Simulated Trading Lab as well as Live Trading Lab fully equipped with advanced algorithmic trading platforms and statistical analysis systems.
FacultyAbhijit Biswas, is the founding Director and Head of Product Development at Risk Infotech Solutions, India’s pioneering company in Portfolio Risk Management Software Products. He is currently consultant to HPC Links which is involved in the development of Quantitative Finance solutions and services using High Performance Parallel Computing technologies in Algorithmic Trading, Risk Analytics, etc. He is also consultant to financial institutions for Quantitative Volatility Trading systems. He is also the founding Director of IIQF. He has been a consultant to major global financial institutions in risk management domain. More...
Dr. Hari, Ph.D in Applied and Computational Mathematics from IISc Bangalore. He is a Quantitative Researcher and Data Scientist who has Worked as trader, researchers, data scientist, developer on different projects.
Dr. Narayana Darapaneni, Ph.D. in Mathematics from University of Paris VI and Indian Institute of Science (Bangalore, India) and a M.S. in Mathematics from Pondicherry University (India). His expertise is in parallel multilevel Monte Carlo methods, machine learning, time series analysis, optimization, trading strategies, risk management, R, Python and Big Data technologies. He has worked as Research Consultant with a leading HFT firm where he was involved in developing machine learning and statistical techniques for algorithmic trading and HFT strategies design and development. Prior to that he has worked with Edelweiss Securities as Deputy Vice President and was responsible for Running High frequency trading (HFT) book using machine learning and statistical techniques and previously have also worked at Deep Value Technology as Senior Quantitative Analyst responsible for Indicators design and development, HFT strategies design and development, portfolio optimization and risk management.
Learning Outcomes Course Calendar| Centre | Start Date |
| Online | 15th January, 2022 |
Registration Process
You may register online for the course by filling up the form given here .
Contact Details
Mumbai Office:
Module No. 624, Mastermind IV,
Royal Palms IT Park, Goregaon (E),
Mumbai - 400065
Office Hours:
Weekdays : 10:00 AM - 7:30 PM
Saturdays & Sundays : 2:30 PM - 7:30 PM
Contact Person:
Nitish Mukherjee : +91-22-28797660 / +91-9769860151
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