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Quantitative Researcher

Quantitative Researcher

ConfidentialGurugram, Gurgaon / Gurugram, India
30+ days ago
Job description

Quantitative Researcher – Gurgaon | Global Quant Fund

We're hiring exceptional Quantitative Researchers for a leading global quant investment firm building market-neutral, ML-driven strategies across global equities.

This team operates at the intersection of data, mathematics, and machine learning, generating thousands of predictive signals daily and turning research into production-ready trading strategies.

Location : Gurgaon

You role :

  • Research, test, and implement systematic alpha signals across global markets.
  • Apply advanced statistics, optimization, and machine learning to financial data.
  • Work end-to-end on ideas — from hypothesis → data cleaning → backtesting → live deployment.
  • Collaborate with global teams of researchers and engineers to scale the research infrastructure.

Requirements :

  • Degree in Computer Science, Mathematics, Statistics, Physics, or Engineering from a top university (IIT, IISc, ISI, CMI, BITS, IIIT).
  • Strong programming ability in Python (NumPy, Pandas, scikit-learn, PyTorch or TensorFlow).
  • Deep understanding of statistical modeling, ML algorithms, and data analysis.
  • Passion for solving real-world problems through data-driven research.
  • 0–5 years' experience in quant research, ML, or data science — internships in trading, hedge funds, or top product firms a plus.
  • What makes this opportunity unique

  • Research-driven culture with academic rigor and freedom to test your own ideas.
  • Exposure to global markets, datasets, and advanced research infrastructure.
  • Flat hierarchy, high-impact roles, and collaborative team environment.
  • If you love turning data into decisions, thrive on curiosity and rigor, and want to work in a true quant-first environment, we'd love to hear from you.

    Skills Required

    Tensorflow, Numpy, Data Analysis, Machine Learning, Pandas, Pytorch, Optimization, Statistical Modeling, Python

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