Quantitative Researcher, Volatility

BHFT; Remote; GBP 80,000 - 100,000; Full time

Job summary

A top-tier trading firm in Greater London is seeking an experienced quantitative researcher to calibrate volatility surfaces, design automated algorithms, and analyze market data. The ideal candidate will have over 5 years' experience in quantitative trading or research and proficiency in Python, C++, or Rust. The role offers remote work options, collaboration with industry experts, and opportunities for professional growth without the burden of bureaucracy.

Benefits

Flexible schedule

Health insurance compensation

Opportunities for professional growth

Qualifications

• 5+ years in Quantitative Research/Trading from a top-tier trading firm or hedge fund.
• Strong experience with option strategies and pricing.
• Proficiency in Python, C++, or Rust.

Responsibilities

• Calibrate volatility surfaces using market data.
• Design automated algorithms for surface adjustments.
• Analyze historical and live market data for trading opportunities.

Skills

Quantitative Research

Portfolio option strategies

Python

C++

Rust

Market microstructure

Risk management

Job description

Job Description

• Calibrate 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.

Qualifications

• 5+ 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 Information

What 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.