Quantitative Researcher, Commodities

BHFT; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading trading firm in the UK seeks a Full-time Quantitative Trader to develop HFT and MFT trading strategies focused on commodities. The ideal candidate has a strong statistical background, experience in energy commodities, and proficiency in Python, C, or Rust. The position offers remote work flexibility, collaboration with industry professionals, and opportunities for personal growth and health benefits. Strong communication and teamwork are essential.

Benefits

Health insurance compensation

Sports activities compensation

Non-professional training compensation

Flexible schedule

Qualifications

• Strong skills in statistics and probability.
• Background in a proprietary trading firm or hedge fund is preferred.
• Proven track record in energy commodities, mainly oil & gas.
• Experience in fully systematic trading strategies with short holding periods.
• Solid understanding of market microstructure.

Responsibilities

• Develop HFT and MFT trading strategies on CME and ICE markets.
• Run backtesting and optimize portfolio strategies within a quant team.
• Analyze market data to identify opportunities and dislocations.
• Tune and debug models under real market conditions.

Skills

Statistics and probability

Time-series analysis

Python

C

Rust

Communication skills

Collaborative spirit

Tools

SPSS

Microsoft Word

R

Stata

Microsoft PowerPoint

Job description

Responsibilities

• Develop HFT and MFT trading strategies on CME and ICE commodities inter‑ and intra‑spread markets focused on volume and P&L via our prop. trading platform.
• Run backtesting and spread strategy portfolio optimisations work within the quant team on enriching ML pipeline and statistical tools.
• Analyse historical and live market data to identify opportunities and spread dislocations.
• Tune and debug models under realistic market conditions including bid / ask spreads, market noise and slipage.

Qualifications

• Strong skills in statistics, probability, and time‑series analysis.
• Background in a top‑tier proprietary trading firm or hedge fund is strongly preferred.
• A proven track record in energy commodities (particularly oil & gas).
• Experience in developing and supporting fully systematic trading strategies with holding periods ranging from minutes to a few hours.
• Proficiency in Python, C, or Rust.
• Solid understanding of market microstructure.
• Strong collaborative spirit, work ethic, 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.

Remote Work: Yes

Employment Type: Full‑time

Key Skills: Intelligence Community Experience, Python, Spss, Microsoft Word, R, Regression Analysis, Windows, Stata, Microsoft Powerpoint, Research Experience, Data Modeling, Writing Skills

Experience: years

Vacancy: 1