Quantitative Researcher Commodities

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

Job summary

A leading trading group in Greater London seeks a skilled trader to develop high-frequency and medium-frequency trading strategies on energy commodities. Ideal candidates will have a strong background in statistical analysis, experience in trading firms, and proficiency in programming languages like Python or C++. The role offers the flexibility of remote work and excellent professional growth opportunities paired with competitive health benefits.

Benefits

Flexible schedule

Health insurance compensation

Sports activities reimbursement

Non-professional training compensation

Qualifications

• Experience in energy commodities, particularly oil & gas.
• Track record in developing systematic trading strategies.
• Ability to analyze historical and live market data.

Responsibilities

• Develop HFT and MFT trading strategies on CME and ICE commodities.
• Run backtesting and optimise trading strategies.
• Tune and debug models under market conditions.

Skills

Statistical analysis

Probability analysis

Time-series analysis

Python programming

C++ programming

Rust programming

Market microstructure understanding

Strong communication skills

Job description

Job Description

• 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, 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.