Super Trading App is committed to democratising capital markets, making financial opportunities accessible to a billion Indians. With a focus on creating innovative and user-friendly solutions, the company empowers individuals to participate in the world of trading and finance. Driven by technology and a passion for financial inclusivity, Super Trading App is at the forefront of reshaping the trading landscape in India. Join our team and be a part of building a more equitable financial future.
Quantitative Researchers/Traders are part of the core team working directly in the Algorithmic development team for research and development of the Quant Strategies. The goal is to develop a diversified set of scalable automated trading strategies that deliver consistent alpha.
Responsibilities
Building models - understanding relationships between securities
Researching automated trading strategies using a range of historical data, price and volume inputs
Researching portfolio construction and risk allocation techniques
Back-testing ideas using historical tick-by-tick data
Evaluating strategy performance, making improvements and scaling up successful strategies
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field from a top-tier institution
Robust programming proficiency in Python and/or C++
Solid foundation in probability, statistics, and mathematical modeling
Experience working with large-scale datasets and time-series analysis
Demonstrated ability to solve complex analytical problems and think critically
Preferred Qualifications
Prior experience in automated trading strategy development at a top HFT firm or hedge fund
Familiarity with machine learning techniques and their application in financial modeling
Knowledge of financial markets, asset pricing, and market microstructure
Experience with low-latency systems or high-performance computing enviro
📌 Quant Trader (Chandigarh)
🏢 The Future University
📍 Chandigarh
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