Rs 60 lakh internships to Rs 4 crore pay: Inside India's high-paying HFT career boom

Rs 60 lakh internships to Rs 4 crore pay: Inside India's high-paying HFT career boom

High-frequency trading or HFT is turning into one of India's most lucrative careers, with some firms offering interns up to Rs 60 lakh for two months. Here is what quant traders actually do, why the pay is so high, what skills firms want, and whether a career switch into HFT is possible.High-frequency trading or HFT is turning into one of India’s most lucrative careers, with some firms offering interns up to Rs 60 lakh for two months. (AI-generated image)Forget the usual internship stipend of a few thousand or even a few lakh rupees.India’s high-frequency trading industry is now offering numbers that can make even experienced professionals look twice.According to a Bloomberg report published this week, Gurugram-based Quadeye is offering about Rs 30 lakh a month to some interns, or Rs 60 lakh for a two-month internship. Graviton is offering around Rs 50 lakh for two months, while Amsterdam-based IMC Trading is offering Rs 25 lakh for a two-month 2026 internship, including a Rs 5 lakh sign-on bonus, and Optiver is offering around Rs 60 lakh.These are not ordinary finance internships. The firms are competing for students who can combine mathematics, programming and problem-solving to build models and trading strategies. And the numbers are not limited to students.A recent Reddit discussion on r/quantindia featured a self-reported quant trader with five years of experience claiming total compensation of about Rs 4 crore a year. Another commenter claimed Rs 9 crore after five years at Graviton, while another reported Rs 8 crore to Rs 13 crore after seven years at a small HFT firm. However, these Reddit figures are unverified, and they should not be treated as standard salaries. In HFT, total compensation can depend heavily on bonuses and trading performance.That is precisely what makes this career unusual.WHAT DOES AN HFT QUANT ACTUALLY DO?An HFT firm uses technology, mathematics and market data to find tiny trading opportunities and execute orders extremely quickly.A quant trader may analyse probabilities, prices, order books and market behaviour. A quant researcher develops and tests strategies. A quant developer or engineer builds the systems that allow those strategies to run efficiently.You do not necessarily need to be someone who spends all day watching stock charts.In fact, IMC's current graduate quant trader role says previous financial-market knowledge is not required. It looks for students with quantitative degrees, analytical ability and programming experience.IMC's India trading internship similarly accepts students from mathematics, science, engineering, statistics, actuarial studies, finance and economics.SO HOW DOES SOMEONE GET INTO HFT?The biggest misconception is that learning stock trading is enough. It is not.The core skill stack is usually:Mathematics: probability, statistics, calculus, linear algebra and logical reasoning.Programming: Python is useful, while C++ becomes particularly important for many trading technology roles.Problem-solving: Expect difficult puzzles, probability questions, coding tests and situations where you have to make decisions with incomplete information.Market knowledge: Understanding market microstructure, order books, execution and derivatives helps, particularly for experienced trading roles.Current IMC roles, for example, ask for quantitative backgrounds and strong programming and data-analysis skills. Its experienced quant trading roles specifically mention market microstructure, order-book dynamics, market impact and tick-level data.CAN A NON-IIT STUDENT OR A WORKING PROFESSIONAL SWITCH?Yes, but there is an important catch.A short course cannot magically turn someone into a Rs 60 lakh intern or Rs 4 crore quant trader.The strongest HFT firms still have extremely demanding recruitment processes. Their tests measure whether you can actually solve quantitative and programming problems.However, someone from computer science, mathematics, physics, statistics, economics, engineering or even a strong software background can build the required skills.For working professionals, a practical route is to first strengthen Python or C++, probability, statistics, data analysis and algorithms. Then build actual projects involving backtesting, market data or systematic strategies.There are also structured programmes worth considering. NSE's EPAT, delivered by QuantInsti, covers quantitative trading, market microstructure, Python, statistics, machine learning, trading technology, backtesting and risk management, and includes a hands-on project and proctored examination.QuantInsti also operates a hiring platform claiming 300+ hiring partners and lists quantitative trader, developer, quantitative analyst and research roles among the positions for which employers can recruit candidates.These courses can help create the foundation, particularly for career switchers. But candidates should judge them by the depth of mathematics, programming, projects and actual hiring outcomes, rather than a promise of an HFT job.THE INTERESTING PART: FIRMS THEMSELVES TRAIN QUANTSThis is where the industry differs from many other careers.IMC runs a six-week Trading School for its graduate trading and quant research hires, teaching financial markets, options theory, pricing and trading simulations from the ground up.Its internship programme also begins with classroom training before students work on research projects and trading strategies.Optiver similarly describes formal graduate training involving trading games, lectures, projects and algorithm-building exercises.So the goal for an aspiring quant is not to know everything about trading before applying.It is to become very good at the things HFT firms find difficult to hire for: mathematics, coding, logical reasoning and the ability to solve unfamiliar problems quickly.That talent shortage is exactly why firms are willing to pay so aggressively.And for someone with the right aptitude, HFT is no longer just a niche corner of finance. It is emerging as one of the most financially rewarding career paths sitting at the intersection of mathematics, technology and markets.- EndsPublished On: Aug 28, 2026 09:30 IST

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