Options Quant Researcher in London

BHFT is a proprietary algorithmic trading firm managing the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges and a broad range of asset classes, including equities, equity derivatives, options, commodity futures, and rates futures. We employ a diverse array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches.

We are expanding into new markets and products, continuously experimenting with new markets, tools, and technologies. Our team consists of over 200 professionals, with a strong emphasis on technology; 70% are technical specialists in development, infrastructure, testing, and analytics. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, and Operations. Our employees are located worldwide, and we currently operate as a 100% remote organization.

At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward.

We're looking for a Mid-Senior Quant Researcher specializing in options, with hands-on experience turning original strategy ideas into fully automated, production strategies in TradFi markets. The mandate is to help build a single, unified options quoting/pricing engine that prices across all strikes, expiries, and underlyings, driven by a relative-value view on implied volatility across instruments in a unified delta order book.

The alpha stack spans:

• Index vol arbitrage (IV differences between instruments)
• Single-stock IV ranking
• Calendar / term-structure spreads
• Skew (smile) arbitrage
• Implied Volatility vs. Realized Volatility
• Correlation via dispersion trading

We expect the candidate to do some subset of these things:

• 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
• Build and own the volatility fitter the signals sit on – calibrating arbitrage-free, temporally stable surfaces on realistic data
• Translate strategy output into execution – routing a target delta-order across option legs to minimize Greek risk
• 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

Qualifications:

• Python (mandatory), strong use of NumPy, pandas, matplotlib, SciPy, and optimization/ML libraries
• Strong research engineering: clean code, reproducible experiments, versioning, and production readiness
• Hands-on experience developing Relative Value strategies
• Experience building systematic strategies in equities / futures / options / other listed derivatives
• Good knowledge of option maths and strong options intuition
• Familiarity with common quant tooling (e.g., QuantLib and/or in-house libraries)

Nice to Have:

• Experience with execution-aware modeling and/or close collaboration with execution / low-latency teams
• Position-driven surface shaping – adapting surface/spread to current portfolio Greeks
• Practical experience applying ML/DL in trading, with careful validation and overfitting controls
• Experience trading exchange-margined derivatives where capital efficiency is a first-order constraint
• Direct experience in cross-instrument arbitrage (spot / futures / options)

What we offer:

• Experience a modern international technology company without the burden of bureaucracy.
• 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.