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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: Work in a dynamic environment with autonomy to implement your own strategies.
- Qualifications: 3+ years of Python experience and strong mathematical/statistical skills required.
- Other info: Collaborate with a multidisciplinary team and refine strategies using real-time data.
The predicted salary is between 48000 - 72000 £ per year.
Apply advanced mathematical models and statistical techniques to develop alpha-generating 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:
- 3+ 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 2+ Sharpe ratio.
Reach out at to discuss the opportunity further.
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Researcher - Crypto MFT
✨Tip Number 1
Network with professionals in the crypto trading space. Attend industry conferences, webinars, or local meetups to connect with like-minded individuals and potential colleagues. This can help you gain insights into the latest trends and may even lead to referrals.
✨Tip Number 2
Showcase your expertise in Python and statistical modelling through personal projects or contributions to open-source platforms. Having a portfolio that demonstrates your skills can set you apart from other candidates and provide tangible evidence of your capabilities.
✨Tip Number 3
Stay updated on the latest developments in the crypto market and mid-frequency trading strategies. Follow relevant blogs, podcasts, and research papers to ensure you are well-informed and can discuss current trends during interviews.
✨Tip Number 4
Prepare to discuss your previous trading strategies and their outcomes in detail. Be ready to explain your thought process, the models you used, and how you adapted to market changes. This will demonstrate your analytical skills and practical experience in the field.
We think you need these skills to ace Senior Quantitative Researcher - Crypto MFT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, statistical modelling, and any relevant trading strategies you've implemented. Use specific examples to demonstrate your expertise in mid-frequency trading and your track record of consistent PnL.
Craft a Strong Cover Letter: In your cover letter, express your passion for crypto trading and detail how your skills align with the role. Mention your experience with market microstructure and statistical arbitrage, and explain why you're excited about the opportunity to work with a proprietary trading fund.
Showcase Relevant Projects: If you have worked on any projects related to quantitative trading or developed trading algorithms, include these in your application. Describe the challenges you faced, the solutions you implemented, and the outcomes achieved to demonstrate your problem-solving skills.
Highlight Collaboration Skills: Since the role involves working with a multidisciplinary team, emphasise your ability to collaborate effectively. Provide examples of past experiences where you worked alongside engineers or other quants to achieve a common goal, showcasing your teamwork and communication skills.
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 statistical models or trading strategies, as this will demonstrate your technical expertise.
✨Understand Market Microstructure
Familiarise yourself with the intricacies of market microstructure, especially in the crypto space. Be ready to explain how this knowledge has influenced your trading strategies and decision-making processes in previous roles.
✨Discuss Your Track Record
Prepare to talk about your past performance, particularly your PnL and Sharpe ratio. Providing concrete examples of successful trades or strategies will help build credibility and show that you can deliver results.
✨Emphasise Collaboration
Since the role involves working with a multidisciplinary team, be sure to highlight your teamwork skills. Share experiences where you collaborated with engineers or other quants to optimise trading strategies or infrastructure.
