Remote Quant Researcher: Commodities & HFT ML Strategies

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

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.