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