The Future University
Quant Trader / Researcher - Super Trading App
Skills
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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