Career Detail

Experience
2+ Years
Job Location
Gurgaon
Skills
Python, C++, automated trading strategy development

Quantitative Researcher / Trader

Job Title: Quantitative Researcher / Trader
Location: Gurgaon
Company: CoreQ Research
Experience: Relevant prior experience in HF trading / strategy development is required

About the Role

We are looking for experienced Quantitative Researchers/Traders to join our algorithmic trading team. This is a hands-on role for individuals passionate about researching and building fully automated trading strategies that deliver consistent alpha. You’ll be a key contributor in identifying new trading opportunities, developing scalable strategies, and deploying them in live markets.You’ll be working alongside some of the brightest minds in quant trading, using your deep analytical skills, coding expertise, and market understanding to design cutting-edge systems with short holding periods and high turnover.

Key Responsibilities

  1. Design, research, and implement fully automated systematic trading strategies.
  2. Focus on high-frequency alpha-seeking strategies and market making across asset classes.
  3. Perform extensive backtesting and validation using in-house research infrastructure.
  4. Analyze market microstructure, historical tick-level data, and price/volume trends to detect signals.
  5. Evaluate, refine, and optimize trading strategies based on live market feedback.
  6. Research and apply portfolio construction and risk allocation techniques.
  7. Conduct market research, data modeling, and explore new alpha opportunities.
  8. Collaborate with the tech and infrastructure teams for strategy deployment and monitoring.

What We’re Looking For

  1. Degree in a highly analytical discipline such as Computer Science, Engineering, Mathematics, Physics, or a related quantitative field.
  2. Strong programming expertise in Python and/or C++.
  3. Mandatory prior experience in automated trading strategy development with a leading HFT firm or hedge fund.
  4. Exposure to live high-frequency trading environments.
  5. Deep understanding of financial markets, trading dynamics, and market microstructure.
  6. Working knowledge of Unix/Linux systems.
  7. Ability to independently handle end-to-end research, from idea generation to live deployment.
  8. Experience in statistical modeling, data analysis, and ideally machine learning techniques.
  9. Strong communication and documentation skills.
  10. A highly disciplined, detail-oriented, and self-driven approach to trading research.

Why Join Us

  1. Work on high-impact, fully automated trading systems in real markets.
  2. Access to deep data, scalable research infrastructure, and a strong capital base.
  3. Be part of a performance-driven, collaborative, and intellectually rigorous culture.
  4. Direct ownership, fast execution cycles, and the opportunity to scale your own strategies.

How to Apply
Interested candidates can share their CV at: hr@coreqresearch.com

Max file size: 2MB

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