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- Tasks: Develop and execute mid-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: Dive into real-time trading with autonomy and collaborate with top-tier engineers and quants.
- Qualifications: 4+ years of Python experience and strong background in mathematics and statistics required.
- Other info: Ideal for those with a proven track record in crypto trading and statistical arbitrage.
The predicted salary is between 48000 - 84000 £ per year.
Apply advanced mathematical models and statistical techniques to develop alpha-generating MFT strategies in crypto. Our client, a world-leading proprietary trading fund is seeking Senior Quantitative Traders to develop and execute mid-frequency trading strategies in the digital asset space. If you have experience in market microstructure, statistical arbitrage and are eager to dive into real-time trading, this role is for you. 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 mid-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 mid-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 mid-frequency quantitative trader, proven multi-year track record of consistent PnL within a systematic statistical arbitrage context and a 3+ Sharpe ratio.
Please apply now for more information.
Quantitative Researcher - Mid Frequency Crypto (City of London) employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher - Mid Frequency Crypto (City of London)
✨Tip Number 1
Make sure to showcase your experience with Python and any relevant projects you've worked on. Highlight specific algorithms or models you've implemented that demonstrate your ability to develop mid-frequency trading strategies.
✨Tip Number 2
Network with professionals in the crypto trading space. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights into the role and possibly refer you to our openings.
✨Tip Number 3
Stay updated on the latest trends in crypto markets and mid-frequency trading strategies. Being knowledgeable about current market conditions and innovations will help you stand out during discussions with our team.
✨Tip Number 4
Prepare to discuss your past performance metrics, especially your PnL and Sharpe ratio. Be ready to explain how your strategies have evolved over time and how you’ve adapted to changing market conditions.
We think you need these skills to ace Quantitative Researcher - Mid Frequency Crypto (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, mathematics, and statistics. Emphasise any previous roles related to mid-frequency trading or statistical arbitrage in the crypto space.
Craft a Strong Cover Letter: In your cover letter, express your passion for quantitative research and trading in the crypto market. Mention specific projects or strategies you've worked on that align with the role's requirements.
Showcase Relevant Skills: Clearly outline your expertise in market microstructure and signal generation. Use examples from your past work to demonstrate how you have successfully developed and executed trading strategies.
Highlight Team Collaboration: Since the role involves working with a multidisciplinary team, mention any experiences where you collaborated with engineers or other quants. This shows your ability to work effectively in a team environment.
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. Bring examples of past projects or strategies you've developed, especially those that demonstrate your expertise in statistical modelling and signal generation.
✨Understand Market Microstructure
Familiarise yourself with the intricacies of market microstructure, as this knowledge will be crucial in your role. Be ready to discuss how you’ve leveraged this understanding in previous positions to optimise trading strategies.
✨Demonstrate Your Analytical Mindset
Prepare to explain your approach to data analysis and how you continuously refine your trading strategies. Highlight any specific tools or methodologies you use to stay ahead of market trends, as this will show your proactive nature.
✨Collaborative Spirit
Since the role involves working closely with engineers and other quants, emphasise your ability to collaborate effectively within a multidisciplinary team. Share examples of successful teamwork in past roles, particularly in high-pressure environments.
