As markets and API-driven trading have started flourishing in recent years, Algo-Trading or Quant Trading professionals have seen an of requests for guidance from students about careers in this area. As a result, there is a significant need for structured resources and advice in this field, and in this article, I will try to give some direction to the interested candidates.
I am a practitioner in the quantitative or algorithmic trading domain. I started working in the field in 2010 when Algo trading started in India. There were no resources for learning algo trading out in the market when I started. Everything we learned came from experience; fortunately, a lot of content in this field is open source, and the internet has a lot of quality content available.
Where to Start Learning?There are structured courses in algorithmic trading available on popular ed-tech platforms like CFA Institute, Coursera, QuantInsti, and World quant University, which can be extremely helpful. In addition, many universities like BSE Institute have recently started full-fledged programs on Algo Trading.
But one can even start learning from their efforts through a structured learning program. The skillset necessary to create would be:
Types of roles in Algorithmic Trading
My humble prediction is that the resources for algorithmic trading will evolve and become structured and efficient as the market grows. India has 50-60% penetration of algo trading, but the developed markets have much higher penetration, more complex products, and more accessible regulations. Indian markets and algorithmic trading will continue to grow. We would see fresh new leaders come into the market not just in the alpha generation or portfolio management roles but also in technology, data science, education, and content development.
More here:
All you need to know about career in algo-trading and its future - Economic Times
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