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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: 4+ years of Python experience and expertise in mathematics and statistics required.
- Other info: Collaborate with a multidisciplinary team and optimise real-time trading solutions.
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 employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Researcher – Mid Frequency Crypto
✨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
Stay updated on the latest developments in mid-frequency trading strategies and crypto markets. Follow relevant blogs, podcasts, and social media channels to ensure you're well-informed about current market conditions and innovations that could impact your strategies.
✨Tip Number 3
Engage in online communities and forums focused on quantitative trading and crypto. Platforms like GitHub or QuantConnect can be great for sharing ideas and learning from others' experiences, which can enhance your understanding and skills in this niche.
✨Tip Number 4
Consider creating a portfolio of your trading strategies and results. Documenting your past successes and methodologies can provide tangible evidence of your capabilities, making you a more attractive candidate when applying for the role.
We think you need these skills to ace Quantitative Researcher – Mid Frequency Crypto
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 job description.
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 in a team-oriented environment.
How to prepare for a job interview at Job Traffic
✨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 trading strategies and how it can impact execution and latency.
✨Demonstrate Your Analytical Mindset
Prepare to explain your approach to data analysis and how you continuously refine your trading strategies. Highlight any specific methodologies or tools you use to stay ahead of market trends, showcasing your ability to adapt in a fast-paced environment.
✨Collaborative Spirit
Since the role involves working closely with engineers and other quants, emphasise your teamwork skills. Share examples of successful collaborations in past roles, particularly those that led to the development of scalable trading solutions.
