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Quant Trader / Researcher - Super Trading App

Exclusive opportunity

Onsite

Quant Trader / Researcher - Super Trading App

The Future University

Quant Trader / Researcher - Super Trading App

Skills

PythonMachine Learning

3 months ago

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Important information


Contract type:

Permanent

Location:

Chandigarh, India

Work mode:

Onsite

Published on:

8 August 2026

What they need


Company Description 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
  • Strong 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 environments
  • Publication or research in relevant areas (e.g., finance, ML, statistics, or applied mathematics)

What We Offer

  • Robust and efficient trading infrastructure for development of multi frequency trading strategies (low, medium and high frequency trading)
  • Access to multiple markets and asset classes across the globe
  • Opportunity to grow and have a good career development path
  • Competitive compensation and transparent business terms
  • Guidance to learn, develop and improve on Market dynamics and strategies
  • Opportunity to work and learn from various Senior executives in the firm

Location:

  • On-site role based in Chandigarh, India

Skills: automated trading,trading strategies,building models,trading

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