BHFT

Researcher

• Own end-to-end options strategy research: hypothesis → data → modeling → backtesting → production → live monitoring and iteration
• Work on Relative Value, Statistical Arbitrage, and Spread Trading strategies specific to the options universe (the stack above)
• Build and own the volatility fitter the signals sit on – calibrating arbitrage-free, temporally stable surfaces (SVI/SSVI or a proposed alternative) on realistic data (wide bid/ask, missing strikes, gaps, latency), with attention to residual noise near expiry / illiquid strikes / events
• Translate strategy output into execution – routing a target delta-order across option legs to minimize Greek risk, with inventory-aware quoting that shifts price/size against live vega/gamma/skew, and awareness of options microstructure (spreads, queue, adverse selection, latency)
• Build and maintain mid-frequency (MFT), fully automated strategies with a strong live-performance focus
• Track record of deploying fully automated strategies with Sharpe > 2 (or demonstrable equivalent risk-adjusted performance)
• Design robust signal research pipelines (feature engineering, labeling, validation, regime analysis)
• Develop realistic backtests and live-simulation frameworks accounting for slippage, spreads, latency, partial fills, and market impact
• Work in tight feedback loops with trading and execution to improve PnL, robustness, and risk-adjusted performance
• Debug and tune research outputs under live conditions: data issues, execution artifacts, microstructure noise, and changing market regimes

Options Quant Researcher

Trader

• Develop and evaluate systematic equity trading opportunities.
• Collaborate with research and technology teams on strategy deployment.
• Identify new sources of alpha across US equities.
• Drive improvements in execution and portfolio construction.
• Participate in the design of trading infrastructure and analytics.

Senior Quantitative Equity Trader

• Looking for a Quant Researcher with hands-on experience applying volatility models.
• Calibrating volatility surfaces on real market data.
• Understanding and enforcing smoothness, arbitrage-free conditions, and temporal stability.
• Tuning and debugging models under realistic market conditions.
• Designing and implementing logic for position-driven dynamic surface shaping.
• Identifying, modeling, and mitigating residual noise in implied volatility surfaces.

• Develop, backtest, and deploy HFT strategies on NSE Options (primary focus), with a roadmap to expand into additional NSE instruments
• Collaborate with the engineering team on execution quality, latency optimization, and order routing
• Participate in platform calibration and performance improvements as strategies scale
• Build a strategy library that can grow with the platform

HFT Trader, Indian Options

Risk

• Run and maintain the firm’s VaR and risk systems daily.
• Monitor trading exposures in real time against the firm’s risk limits.
• Reconcile daily margin requirements against FCM statements and calls.
• Execute daily stress tests and scenario analyses.
• Identify and investigate outliers, data issues, or unexpected spikes in VaR or risk metrics.
• Maintain a working understanding of daily P&L by strategy.
• Run the daily liquidity reserve model to assess bid/ask costs for exiting positions.
• Prepare and distribute clear daily risk reports to the senior management.

Options Quant Researcher

Senior Quantitative Equity Trader

Options Quant Researcher

HFT Trader, Indian Options

Risk Analyst