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-About BHFT
BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms.
We trade across a broad range of asset classes, including:
- Equities
- Equity derivatives
- Options
- Commodity futures
- Rates futures
We employ both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) strategies while continuously experimenting with new markets and technologies.
We consist of 200+ professionals, with 70% being technical specialists in development, infrastructure, testing, and analytics. The rest cover business operations, including Risk, Compliance, Legal, and Operations.
Our team operates fully remote globally, from the United States to Hong Kong, while maintaining office spaces.
Our culture is built on clarity and transparency, emphasising open communication and streamlined processes.
Job Description: Mid-Senior Quant Researcher (Options Focus)
We seek a Mid-Senior Quant Researcher specializing in options, capable of transitioning original strategy ideas into fully automated production strategies for TradFi markets while collaborating closely with traders.
Your mandate is to contribute to revamping our options quoting/pricing engine, ensuring it pricing effectively across all strikes, expiries, and underlyings, driven by a relative-value approach to implied volatility, and facilitating a unified delta order book structure (spanning spot, futures, and option legs).
Alpha Strategy Synopsis
- Index Volatility Arbitrage (exploiting IV differences across instruments)
- Single-Stock IV Ranking & Positioning
- Calendar/Term Structure Spreads
- Skew Arbitrage
- Implied Volatility vs Realised Volatility Mapping
- Correlation Trading via Dispersion Signals
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Key Responsibilities
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End-to-End Options Strategy Workflow
- Formulating hypotheses, collecting data, constructing models, backtesting, deploying to production, and live monitoring/iteration.
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Unified Volatility & Surface Fitting
- Build and scale a highly robust volatility fitting engine, capable of calibrating arbitrage-free, temporally stable surfaces (e.g. SVI, SSVI, or custom alternatives) across fragmented data challenges, including:
- Bid/Ask distribution gaps
- Missing strikes/risks
- Expiry/latency noise
- Illiquid strike adjustments
- Build and scale a highly robust volatility fitting engine, capable of calibrating arbitrage-free, temporally stable surfaces (e.g. SVI, SSVI, or custom alternatives) across fragmented data challenges, including:
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Execution-Informed Strategy Conversion
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Systematically route delta-based order flow while minimising:
- Greek risk
- Inventory mismatches
- Market impact (Vega, Gamma, Skew sensitivity)
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Adapt a dynamic quoting strategy, considering:
- Inventory/position exposure
- Liquidity microsurfaces
- Queue-driven latency risks
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Medium-Frequency Trading Development (MFT)
- Build automated strategies with explicit live performance focus
-
** performances (or alternative non-skewy risk-arbitrage extremes).**
Core Operations in Production
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Develops realistic backtest/env/simulation pipelines, accounting for:
- Slippage
- Bid–ask spreads
- Partial fills
- Latency mappers
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Retrofitting data, execution, noise-resilience under live conditions
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Debugging till live performance adjustments across:
- Data issues
- Execution inefficiencies
- Changing market/microstructure regimes
Requirements
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Must-Have
Technical Fit
- Python fluency (mandatory)
- Expertise in:
numpy,pandasmatplotlibfor visualization- Scikit, PyTorch, TensorFlow, LightGBM (or equivalent)
- Expertise in:
- Strong research engineering mindset
- Clean, reproducible, production-ready code
- Methodologies for automated experiments/New testing frameworks
- Hands-on systematic strategy experience
- Focused on relative value or arbitrage within:
- Equities
- Futures
- Options
- Focused on relative value or arbitrage within:
Quant/Option-Theoretical Acumen
- Detailed grasp of option maths (BLACK76, BS/cracking) with practical intuition
- Strong interest in vol arbitrage and delta vs. skew exposures
Quant Tooling
- Experience with QuantLib and/or proprietary engine calibration environments
Nice-to-Have
-
Near-trader alignment
- Trading Execution Awareness (e.g., integration with HFT frontends/lower-latency rails)
- Microstructure studies (spreads/queue management, adverse selection)
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Machine Learning & Portfolio Optimization
- Applied PyTorch/TensorFlow with rigorous validation (no overfitting!)
- Advanced regime-switching logic applied to options flow
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Margin-Aware Trading
- Experience with exchange-margined positions (NSE Options, CME, Eurex)
How to Connect
Why Work with BHFT?
- Low-Bureaucracy Culture – A fast-moving tech-driven environment, remote-friendly with a flexible schedule.
- Career Progression & Learning – Invests in your growth through: professional development, health benefits, sports participation, non-professional training.
- Competitive Compensation – Including all industry-endorsed insurance protection.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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