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 new 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 options markets.
- Strong understanding of options pricing, Greeks, volatility and derivatives strategy construction.
- Good understanding of NSE/BSE market structure and weekly expiry mechanics.
- Strong Python skills with experience in Pandas, NumPy, SciPy, scikit-learn and/or Polars.
- Strong foundation in statistics, probability, time-series analysis and quantitative modelling.
- Experience working with large historical and/or intraday market datasets.
- Ability to clean, transform and engineer features from financial market data.
- Experience with backtesting frameworks or quantitative research infrastructure.
- Robust understanding of Sharpe ratio, drawdown, Calmar ratio, hit rate, exposure and risk-adjusted returns.
- Ability to independently take a research idea from hypothesis through backtesting and, ultimately, live deployment.
- Strong analytical thinking and attention to detail.




- Comfortable working in a fast-paced, research-driven environment.

Preferred / Good To Have

- Experience in volatility modelling or volatility trading.
- Experience with options market-making or systematic execution.
- Experience applying machine learning to trading strategies.
- Experience building a backtesting framework or research infrastructure from scratch.
- Experience with order-flow and market-microstructure signals.
- Experience trading or researching expiry-day strategies.
- Familiarity with high-frequency or tick-level data.

What We Offer
- Opportunity to work on systematic strategies across some of the world’s most liquid derivatives markets.
- Direct ownership of research ideas that translate into live positions and real P&L.;
- Exposure to quantitative research, live trading, technology and risk management.
- A high-performance environment that values rigorous research over shortcuts.
- Opportunity to work closely with experienced traders, researchers and technologists.
- Scope to build and influence Northstar’s systematic trading capabilities from the ground up.

Ideal Candidate The ideal candidate is not just a trader or just a researcher. We are looking for someone who understands options deeply, thinks quantitatively, can code and backtest independently, and is comfortable taking ownership from idea → research → validation → live strategy → performance monitoring.

Location: Mumbai

Experience: 3–5 years

Function: Quantitative Trading / Research

Employment: Full-Time

Skills: trading,derivatives,backtesting,research

📌 Quant Trader / Researcher – Options & Systematic Derivatives (Mumbai)
🏢 Northstar Quant
📍 Mumbai