I’m partnering with a leading systematic investment firm looking to hire an experienced Quantitative Researcher into its Gurugram team.
This is a research-heavy role focused on developing machine learning and statistical models that predict movements across liquid financial markets. You’ll work with large and complex datasets, discover new alpha signals, build systematic strategies and test ideas through rigorous backtesting and simulation.
What you'll be doing:
Research and develop predictive ML/statistical models for systematic trading
Analyse large financial datasets to identify current alpha signals
Develop market-neutral strategies across areas such as equities, futures, commodities and event-driven research
Research and implement recent ideas from quantitative finance and academia
Backtest hypotheses and continually improve existing models and strategies
Collaborate with experienced quantitative researchers on current research initiatives
What we're looking for:
2+ years' experience within a systematic trading environment
BS/MS/PhD in a STEM discipline
Strong Python programming skills
Genuine interest in machine learning and quantitative research
Excellent analytical and problem-solving ability
Comfortable working both independently and within a collaborative research team
Compensation: Up to ₹1.2 Crore (120 Lakhs) base + performance-related bonus
Location: Gurugram, India A outstanding opportunity for a Quant Researcher who wants significant ownership over research and the opportunity to develop strategies used in live systematic trading.
📌 Quantitative Researcher Gurugram (India)
🏢 Radley James
📍 India
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