Quantitative Researcher - Crypto HFT
Quantitative Researcher - Crypto HFT

Quantitative Researcher - Crypto HFT

City of London Full-Time 54000 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and execute high-frequency trading strategies in the crypto market.
  • 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 strong mathematical/statistical skills required.
  • Other info: Collaborate with a multidisciplinary team and optimise trading solutions.

The predicted salary is between 54000 - 84000 £ per year.

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 mmurphy@algocapitalgroup.com to discuss the opportunity further, or please apply now.

Quantitative Researcher - Crypto HFT employer: Algo Capital Group

As a world-leading proprietary trading fund, we offer Quantitative Researchers the chance to work in a dynamic and fast-paced environment, where innovation meets opportunity. Our culture fosters collaboration among multidisciplinary teams, providing you with the autonomy to implement your own high-frequency trading strategies while benefiting from competitive salaries and profit-sharing based on performance. Located at the forefront of the crypto market, you'll have access to cutting-edge technology and resources that empower your professional growth and success.
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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

Familiarise yourself with the latest trends in crypto trading and high-frequency strategies. This will not only help you understand the market better but also allow you to engage in informed discussions during interviews.

✨Tip Number 2

Network with professionals in the crypto trading space. Attend industry conferences, webinars, or local meetups to connect with others who can provide insights or even refer you to opportunities at StudySmarter.

✨Tip Number 3

Brush up on your Python skills, especially in relation to quantitative analysis and statistical modelling. Consider working on personal projects or contributing to open-source projects that showcase your abilities in this area.

✨Tip Number 4

Prepare to discuss your past experiences with high-frequency trading and your approach to developing trading strategies. Be ready to share specific examples of how you've generated alpha and managed risk in previous roles.

We think you need these skills to ace Quantitative Researcher - Crypto HFT

Advanced Mathematical Modelling
Statistical Techniques
Python Programming
High-Frequency Trading Strategies
Signal Generation
Statistical Modelling
Data Analysis
Market Trend Analysis
Latency Optimisation
Execution Strategies
Proven Track Record in Crypto Trading
Performance Metrics Analysis
Collaboration with Multidisciplinary Teams
Autonomous Strategy Implementation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Python, mathematics, and statistics. Include specific examples of high-frequency trading strategies you've developed and any relevant performance metrics, such as your Sharpe ratio.

Craft a Strong Cover Letter: In your cover letter, express your passion for crypto and quantitative research. Discuss how your skills align with the job requirements and mention any successful projects or strategies you've implemented in the past.

Showcase Relevant Experience: If you have experience working in a fast-paced trading environment, be sure to detail this in your application. Highlight any collaborative projects with engineers or other quants that demonstrate your ability to work in a multidisciplinary team.

Proofread and Edit: Before submitting your application, carefully proofread your documents for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial in quantitative research.

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 research. Bring examples of past projects where you developed trading strategies or statistical models, as this will demonstrate your technical proficiency.

✨Understand the Crypto Market

Familiarise yourself with current trends and challenges in the crypto space. Being able to discuss recent developments or market movements will show your passion and understanding of the industry, which is crucial for a role focused on high-frequency trading.

✨Prepare for Problem-Solving Questions

Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex mathematical problems or optimising trading strategies, as this will highlight your analytical skills.

✨Demonstrate Team Collaboration

Since the role involves working closely with engineers and other quants, be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to implement trading solutions or refine strategies.

Quantitative Researcher - Crypto HFT
Algo Capital Group
A
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