[Hiring] Options Quant Researcher @BHFT

Role Description

We’re looking for a Quant Researcher with hands-on experience applying volatility models in live trading in TradFi markets. We expect the candidate to:

• Have practical experience calibrating volatility surfaces on real market data, including handling gaps, latency issues, and so on to effectively use realistic data available in the market.
• MFT’ish research is a must. HFT is nice to have.
• Understand how to enforce smoothness, arbitrage-free conditions, and temporal stability.
• Be able to tune and debug models under realistic market conditions – including bid/ask spreads, noise, and incomplete markets.
• Design and implement logic for position-driven dynamic surface shaping, including:
  • How current portfolio Greeks (vega, gamma, skew) should influence surface parameters such as skew, curvature, and wing behavior.
  • Hands-on experience is required for dynamically adapting surface shape based on current exposure.
• Ability to identify, model, and mitigate residual noise in implied volatility surfaces, especially:
  • near expiry,
  • around illiquid strikes,
  • or in event-driven conditions.

Qualifications

• Python (mandatory), with strong use of NumPy, pandas, matplotlib, SciPy, and relevant optimization/ML libraries.
• Familiarity with standard quant libraries (QuantLib, or custom volatility tools).
• PyTorch / TensorFlow experience (strongly preferred).
• Experience with NSE options and/or other TradFi derivatives with margin impact is a major plus.

Requirements

• Familiarity with practical heuristics for surface management.
• Working (not just academic) experience applying ML/DL models (e.g., PyTorch, TensorFlow) to this problem.
• Understanding of model explainability and risk of overfitting in execution-sensitive environments.
• Direct experience in spot/futures vs. options arbitrage.

Benefits

• Experience a modern international technology company without the burden of bureaucracy.
• Collaborate with industry-leading professionals, including former employees of Tower, DRW, Broadridge, Credit Suisse, and more.
• Enjoy excellent opportunities for professional growth and self-realization.
• Work remotely from anywhere in the world with a flexible schedule.
• Receive compensation for health insurance, sports activities, and non-professional training.