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- Tasks: Develop and execute high-frequency trading strategies in the crypto space.
- Company: Join a world-leading proprietary trading fund focused on digital assets.
- Benefits: Enjoy competitive salary, profit-sharing, and access to cutting-edge trading systems.
- Why this job: Work in a dynamic environment with autonomy to implement your own strategies.
- Qualifications: 4+ years of Python experience and expertise in mathematics and statistics required.
- Other info: Collaborate with a multidisciplinary team and optimize real-time trading solutions.
The predicted salary is between 54000 - 84000 £ per year.
Quantitative Researcher – Crypto HFT
Apply advanced mathematical models and statistical techniques to develop alpha-generating strategies in crypto. A world-leading proprietary trading fund is seeking Quantitative Researchers to develop and execute high-frequency trading strategies in the digital asset space. You’ll collaborate with a multidisciplinary team of engineers and quants to deploy real-time, scalable trading solutions and have the autonomy to implement your own trading strategies.
What you’ll do:
- Design and implement High-frequency trading strategies for digital assets.
- Work closely with infrastructure teams to optimize latency and execution.
- Leverage data to continuously refine strategies and stay ahead of market trends.
What’s in it for you?
- Be immersed in cutting-edge High-frequency trading systems and strategies for the crypto space.
- Competitive salary with profit-sharing opportunities based on performance.
- A dynamic and fast-paced environment with tier-1 infrastructure access.
Key Skills & Knowledge:
- 4+ years’ experience with Python.
- Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation.
- Experience as a crypto high-frequency quantitative trader, proven multi-year track record of consistent PnL, and a 2+ Sharpe ratio.
Reach out at to discuss the opportunity further, or please apply now.
Quantitative Researcher – Crypto HFT employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Crypto HFT
✨Tip Number 1
Make sure to showcase your experience with Python prominently. Highlight specific projects or strategies you've developed that demonstrate your proficiency in high-frequency trading and statistical modeling.
✨Tip Number 2
Network with professionals in the crypto trading space. Attend industry conferences or webinars where you can meet potential colleagues and learn about the latest trends in high-frequency trading.
✨Tip Number 3
Stay updated on the latest developments in crypto markets and trading technologies. Being knowledgeable about current events and innovations can give you an edge during discussions with our team.
✨Tip Number 4
Prepare to discuss your past performance metrics, especially your PnL and Sharpe ratio. Having concrete examples ready will help demonstrate your success as a quantitative trader.
We think you need these skills to ace Quantitative Researcher – Crypto HFT
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your 4+ years of experience with Python and any specific projects or roles that showcase your expertise in high-frequency trading and statistical modeling.
Showcase Your Skills: Detail your mathematical and statistical skills, particularly in signal generation and statistical modeling. Provide examples of how you've applied these skills in previous roles, especially in the crypto space.
Demonstrate Your Track Record: Include quantifiable achievements, such as your proven multi-year track record of consistent PnL and a Sharpe ratio of 2+. This will help illustrate your capability to generate alpha in high-frequency trading.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the posting, such as 'high-frequency trading strategies' and 'real-time trading solutions', to ensure your application stands out.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and how you've applied it in quantitative trading. Highlight specific projects where you developed high-frequency trading strategies or worked on statistical modeling.
✨Demonstrate Your Market Knowledge
Stay updated on the latest trends in the crypto market. Be ready to discuss recent developments and how they might impact trading strategies. This shows your passion and commitment to the field.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical thinking and problem-solving abilities. Practice explaining your thought process clearly, as this will demonstrate your ability to work collaboratively with engineers and quants.
✨Highlight Your Track Record
If you have a proven track record of consistent PnL and a strong Sharpe ratio, make sure to bring this up during the interview. Use specific examples to illustrate your success and how you achieved those results.
