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For Companies At a Glance
- Tasks: Develop and optimise trading strategies in commodities markets using advanced statistical tools.
- Company: Join a dynamic algorithmic trading firm with a global presence and tech-driven culture.
- Benefits: Remote work, flexible schedule, health insurance, and opportunities for professional growth.
- Why this job: Make an impact in the fast-paced world of trading while collaborating with industry experts.
- Qualifications: Strong stats skills, experience in trading, and proficiency in Python, C++, or Rust.
- Other info: Work in a transparent environment that values open communication and innovation.
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 have 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 in London employer: BHFT
Contact Detail:
BHFT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher, Commodities in London
✨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. The more people you know, the better your chances of landing that Quantitative Researcher gig.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your trading strategies or any relevant projects. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for technical interviews by brushing up on your statistics, probability, and coding skills. Practice common interview questions and be ready to discuss your past experiences in detail. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website for the best chance at getting noticed. We love seeing candidates who take the initiative to reach out and show their interest in joining our dynamic team!
We think you need these skills to ace Quantitative Researcher, Commodities in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Researcher role. Highlight your experience with HFT and MFT strategies, and don’t forget to showcase your skills in Python, C++, or Rust. We want to see how your background aligns with what we do at BHFT!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about commodities trading and how your previous experiences have prepared you for this role. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, be sure to highlight your strong skills in statistics, probability, and time-series analysis. We’re looking for someone who can analyse historical and live market data, so give us examples of how you’ve done this in the past.
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 ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
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 real-world scenarios, especially in energy commodities. This will show that you understand the core of what they do.
✨Showcase Your Coding Skills
Make sure you're comfortable with Python, C++, or Rust. Prepare to talk about specific projects where you've developed systematic trading strategies. If possible, bring examples of your code or algorithms to demonstrate your technical prowess.
✨Understand Market Microstructure
Familiarise yourself with market microstructure concepts. Be prepared to explain how you would tune and debug models under realistic market conditions, including factors like bid/ask spreads and slippage. This shows you can think critically about trading environments.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. Since strong communication skills are essential, try to convey your past experiences and strategies clearly and concisely. This will help you connect with the interviewers and demonstrate your collaborative spirit.
