The Executive Programme in Algorithmic Trading (EPAT)

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Original Price: Rs. 170000 Rs. 170000

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The Executive Programme in Algorithmic Trading (EPAT) 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.  


  • Reshape the concept and knowledge of essential data available to develop trading algorithms and systems
  • Create and implement trading strategies on different asset classes
  • Perform back and forward testing
  • Inspire traders towards a successful trading career by focussing on derivatives, quantitative trading, electronic market-making or trading related technology and risk management


  • Covers all aspects of theory and practice of quantitative tools, products and methods
  • Enables high-achieving capital market professionals and individuals interested in learning about markets to attain benefits and networking power 
  • Provides a unique chance to its participants to work under the mentorship of world-class faculty for hands-on training in designing and implementing of advanced algorithmic trading strategies on state-of-the-art tools and platforms 

Topics Covered

The Programme is built around a fully examined core of three modules: 

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

Target Audience

The EPAT is strategically to accept participants with high intellectual curiosity possessing strong interest in finance and have analytical skills. Although there is no specific degree requirement most participants joining the program belong to various quantitative disciplines such as mathematics, statistics, physical sciences, engineering, operational research, computer science, finance or economics. Participants from other disciplines should be familiar with calculus, spreadsheets and computational problem solving, if they wish to pursue EPAT.

Topics Covered

100 hours of live lectures + 200 hours of self study

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53618 Students applied

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