Develop and evaluate systematic equity trading opportunities while collaborating with research and technology teams on strategy deployment. Drive improvements in execution, portfolio construction, and the design of trading infrastructure.
Manage the firm's VaR and risk systems, monitoring intraday limits and reconciling margin requirements. Prepare daily risk reports for senior management and collaborate with traders to optimize margin and manage exposures.
Develop and maintain a unified options quoting and pricing engine focusing on relative-value views of implied volatility. Own the end-to-end research cycle from hypothesis and modeling to production and live monitoring of automated strategies.
Develop, backtest, and deploy high-frequency trading strategies specifically for NSE Options. Collaborate with engineering teams to optimize execution quality, latency, and order routing.
The researcher will design and implement logic for dynamic volatility surface shaping and manage portfolio Greeks in live trading environments. They are responsible for calibrating volatility models, mitigating residual noise, and ensuring arbitrage-free conditions in TradFi markets.
Develop, backtest, and deploy high-frequency trading strategies specifically for NSE Options. Collaborate with engineering teams to optimize latency, improve order routing, and refine the trading platform.
The role involves developing, backtesting, and deploying High-Frequency Trading (HFT) strategies primarily focused on NSE Options, with future expansion planned. Responsibilities also include collaborating with engineers on platform improvements, latency optimization, and building a scalable strategy library.
