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- Tasks: Design and implement mid-frequency trading strategies for digital assets.
- Company: Join a world-leading proprietary trading fund in the crypto space.
- 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: 3+ years of Python experience and expertise in mathematics and statistics required.
- Other info: Proven track record in crypto trading with a 2+ Sharpe ratio is essential.
The predicted salary is between 43200 - 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 owatson@algocapitalgroup.com 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
Make sure to showcase your experience with Python and statistical modelling in conversations. Highlight specific projects where you've successfully implemented trading strategies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Network with professionals in the crypto trading space. Attend industry events or webinars to connect with others who work in mid-frequency trading. This can lead to valuable insights and potential referrals.
✨Tip Number 3
Stay updated on the latest trends in crypto and mid-frequency trading. Follow relevant news sources and research papers to discuss current market conditions and innovations during interviews, showing your passion and knowledge.
✨Tip Number 4
Prepare to discuss your approach to optimising latency and execution in trading strategies. Be ready to share examples of how you've improved performance in past roles, as this is crucial for the position.
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, mathematics, and statistics. Emphasise any previous roles related to mid-frequency trading and statistical arbitrage, showcasing your proven track record in the crypto space.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss specific projects or strategies you've implemented in the past that align with the job description, particularly focusing on your experience in market microstructure and real-time trading.
Showcase Relevant Skills: Clearly outline your skills in statistical modelling and signal generation. Provide examples of how you've leveraged data to refine trading strategies and stay ahead of market trends, as this is crucial for the role.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is vital in quantitative research roles.
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 concepts of market microstructure and how they apply to mid-frequency trading. Be ready to discuss how you optimise latency and execution in your strategies, as this knowledge is crucial for the role.
✨Demonstrate Your Analytical Thinking
Prepare to explain your approach to data analysis and how you leverage data to refine trading strategies. Use examples from your past experiences to illustrate your analytical thinking and problem-solving skills.
✨Discuss Your Track Record
Be ready to talk about your previous successes in quantitative trading, particularly any consistent PnL achievements and your Sharpe ratio. This will help establish your credibility and show that you can deliver results in a systematic statistical arbitrage context.
