Unlike standard internships with small stipends, the high-frequency trading (HFT) sector in India offers impressive compensation. According to a report published by Bloomberg this week, the company Quadeye in Gurugram provides some interns with around 30 lakh rupees per month, totaling up to 60 lakh rupees for a two-month internship.
Other companies also offer significant amounts: Graviton offers about 50 lakh rupees for a two-month internship, and IMC Trading from Amsterdam offers about 25 lakh rupees for a similar period, including a bonus of 5 lakh rupees. The company Optiver also offers up to 60 lakh rupees for a two-month internship.
These positions differ from typical financial internships. Companies look for students with deep knowledge in mathematics and programming, capable of using their problem-solving skills to develop trading models and strategies.
High-paying jobs are not only available to interns. Quantitative traders also receive packages worth millions and even billions of rupees. In a discussion on the Reddit forum r/quantindia, one quantitative trader with five years of experience stated an annual income of around 40 million rupees. Another user reported earning about 90 million rupees after five years at Graviton, while another mentioned that in a small HFT company, his earnings after seven years ranged from 80 million to 130 million rupees.
It is important to note that these figures cited on Reddit have not been independently verified and should not be considered fixed salaries. Much of the income in the HFT sector depends on bonuses and trading results, making high-frequency trading an exceptional career opportunity.
The basic principle of how these companies operate is by using technology, mathematics, and market data to identify small trading opportunities in the market and execute orders at very high speeds. There are several roles in this field. A quantitative trader analyzes opportunities, prices, order books, and market behavior. A quantitative researcher develops and tests new trading strategies, while a quantitative developer or engineer creates the systems and software for fast and efficient implementation of these strategies.
To work in this field, it is not necessary to constantly monitor stock market charts. For instance, for the current role of a graduate quantitative trader at IMC, prior knowledge of financial markets is not required. The company provides opportunities for students with a quantitative degree, good analytical skills, and programming experience. Similarly, students studying mathematics, natural sciences, engineering, statistics, finance, and economics can apply for an internship program in India at IMC.
There are many opinions on building a career in HFT. However, assuming that simply learning stock trading is enough is a mistake. A set of diverse skills is necessary to build a career in this field.
Key requirements include: Mathematics — a good understanding of probability, statistics, mathematical analysis, linear algebra, and logical thinking. Programming — Python is very useful, and knowledge of C++ is crucial for many roles related to trading technology. Problem-solving ability — candidates may be subjected to complex puzzles, probability-related questions, and coding tests, sometimes under conditions of incomplete information. Market understanding — knowledge of market microstructure, order books, trade execution, and derivatives is also an advantage, especially for experienced roles.
For example, current vacancies at IMC required strong programming and data analysis skills alongside a quantitative background. For experienced quantitative trader roles, understanding market microstructure, order book dynamics, market impact, and tick-level data is important.
The answer to whether it is possible to build a career in HFT without studying at IIT is yes, it is possible, but the path will be difficult. Simply completing a short course will not lead to a 60 lakh rupee internship or an annual package of 40 million rupees. The hiring process at large HFT companies is very complex. During testing, candidates are checked to see if they can actually solve complex problems related to quantitative methods and programming.
Nevertheless, a person with good knowledge in computer science, mathematics, physics, statistics, economics, engineering, or software can enter this field by mastering the necessary skills. One way for working professionals to start is by studying Python or C++, as well as probability, statistics, data analysis, and algorithms.
