Quant Trader / Researcher - Super Trading App (Chandigarh)

Quant Trader / Researcher - Super Trading App (Chandigarh)

08 Aug
|
The Future University
|
Chandigarh

08 Aug

The Future University

Chandigarh

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





• 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 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

📌 Quant Trader / Researcher - Super Trading App (Chandigarh)
🏢 The Future University
📍 Chandigarh

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