Quantitative Researcher, Volatility

Company DescriptionBHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms.Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches.Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies.We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more.With a strong focus on innovation and performance, BHFT is actively expanding its presence in traditional financial markets. We value a results-driven culture, emphasizing collaboration, transparency, and constant improvement, all while offering the flexibility of remote work and a globally distributed team.Job DescriptionCalibrate SSVI or similar volatility surfaces using market data to ensure smoothness, arbitrage-free conditions, and temporal stability;Design and implement automated algorithms for adjusting surface parameters such as skew, curvature, and wing dynamics;Tune and debug models under realistic market conditions – including bid/ask spreads, market noise, and incomplete markets;Analyze historical and live market data to identify trading opportunities and spread dislocations;Perform backtests on option spread strategies portfolio optimizations and against multiple underlyings;Collaborate with the quant team to enhance ML pipelines and expand statistical toolkits for research and production use. Qualifications5+ years in Quantitative Research/Trading; background in a top-tier proprietary trading firm or hedge fund is strongly preferred;Strong experience with basket and portfolio option strategies, including pricing and risk management;Proven track record in building inventory-aware models where quoted prices adjust based on live risk metrics and our options position;Practical experience with VaR simulations and SPAN margin optimizations;Experience supporting systematic trading strategies with holding periods from minutes to several hours, including near-expiry trading (non-latency sensitive);Background in single-name equity or equity index options preferred;Proficiency in Python, C++, or Rust;Solid understanding of market microstructure; Strong collaborative spirit, work ethics, and a determined drive for success; ability to work both independently and as part of a team;Strong communication skills, with the ability to clearly explain complex ideas. Additional InformationWhat we offer: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.