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For Companies At a Glance
- Tasks: Develop cutting-edge trading strategies and analyse market data for commodities.
- Company: Join a dynamic algorithmic trading firm with a global presence.
- Benefits: Remote work, flexible schedule, health insurance, and professional growth opportunities.
- Why this job: Collaborate with industry experts and make an impact in the trading world.
- Qualifications: Strong stats skills, experience in trading, and proficiency in Python, C++, or Rust.
- Other info: Work in a modern tech environment without bureaucracy.
The predicted salary is between 36000 - 60000 £ per year.
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, slippage.
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.
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-realisation.
- Work remotely from anywhere in the world with a flexible schedule.
- Receive compensation for health insurance, sports activities, and non-professional training.
Quantitative Researcher, Commodities employer: BHFT
Contact Detail:
BHFT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher, Commodities
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend virtual meetups, webinars, or even local events if you can. Building relationships can lead to insider info about job openings and give you a leg up on the competition.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio of your projects, especially those related to HFT and MFT strategies. Use platforms like GitHub to showcase your coding skills in Python, C++, or Rust. This will make you stand out when applying through our website.
✨Ace the Interview
Prepare for technical interviews by brushing up on statistics, probability, and time-series analysis. Practice explaining complex ideas clearly, as communication is key. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
✨Stay Updated on Market Trends
Keep an eye on the latest trends in commodities trading and algorithmic strategies. Being knowledgeable about current market conditions and innovations will not only help you in interviews but also show that you're genuinely interested in the field. Plus, it’s a great conversation starter!
We think you need these skills to ace Quantitative Researcher, Commodities
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong skills in statistics, probability, and time-series analysis. We want to see how your background aligns with our needs, especially if you've got experience in energy commodities.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Quantitative Researcher role. Mention your proficiency in Python, C++, or Rust, and how you’ve developed systematic trading strategies.
Be Clear and Concise: When explaining your past experiences, be clear and concise. We appreciate strong communication skills, so make it easy for us to understand your complex ideas without getting lost in jargon.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into our system quickly!
How to prepare for a job interview at BHFT
✨Know Your Stats
Brush up on your statistics, probability, and time-series analysis skills. Be ready to discuss how you've applied these concepts in past roles, especially in relation to energy commodities. This will show that you understand the core of what they do.
✨Showcase Your Coding Skills
Make sure you're comfortable discussing your experience with Python, C++, or Rust. Prepare to talk about specific projects where you've developed systematic trading strategies. They’ll want to see your technical prowess in action!
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts. Be prepared to explain how you’ve navigated bid/ask spreads, market noise, and slippage in your previous work. This knowledge is crucial for a role focused on HFT and MFT trading strategies.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. Since strong communication skills are essential, think of examples where you successfully conveyed intricate concepts to team members or stakeholders. This will demonstrate your collaborative spirit and ability to work within a team.
