Quantitative Researcher, Commodities at BHFT

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Probability, Time-Series Analysis, Energy Commodities, Systematic Trading Strategies, Python, C++, Rust, Market Microstructure, Collaboration, Work Ethic, Communication

Industry

Financial Services

Description

Company Description BHFT 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. Our employees are located all around the world, from the United States to Hong Kong. Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT, clarity and transparency are at the core of our culture: we value open communication, ensuring that our processes are straightforward. 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.

Responsibilities

Develop HFT and MFT trading strategies on CME and ICE commodities markets. Analyze historical and live market data to identify opportunities and optimize strategies.