About The Role

We are looking for a Quant Trader / Researcher to design, research, backtest, and trade systematic options strategies across NSE and BSE.

This is a research-to-trading role where you will own ideas end-to-end—from identifying market behaviour and developing hypotheses to backtesting, live deployment, and monitoring real P&L.;

The primary focus will be on weekly index and liquid stock options, with particular emphasis on volatility, Greeks, expiry behaviour, market microstructure, and systematic signal generation.

Key Responsibilities

Design, backtest, and trade systematic options strategies across Nifty, Bank Nifty, FinNifty, Sensex and liquid stock options.
Research the behaviour of Delta, Gamma, Theta and Vega across weekly expiry cycles.
Develop strategies around theta decay, gamma dynamics, expiry-day behaviour, pinning and volatility dislocations.
Research implied volatility surfaces, term structure, skew, IV crush and realised-vs-implied volatility.
Generate and evaluate signals using technical, derivatives and market-microstructure data.




Work with datasets including Open Interest, PCR, OI changes, basis, price/volume and intraday data.
Use statistical modelling, time-series analysis and machine learning for signal generation, regime detection and risk-reward estimation.
Conduct rigorous backtesting across different market regimes, time periods and volatility conditions.
Identify overfitting, look-ahead bias, survivorship bias and other research pitfalls.
Translate validated research into live trading strategies in collaboration with trading and technology teams.
Monitor live strategy performance, risk, exposures and P&L; and recommend improvements where required.
Continuously research recent systematic opportunities and improve existing strategies.

Required Qualifications & Skills

3–5 years of relevant experience in options trading, quantitative research or systematic derivatives trading.
Hands-on experience trading or researching Indian opti

📌 Quant Trader (Mumbai)
🏢 Northstar Quant
📍 Mumbai