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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 - 72000 £ 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.
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
Familiarise yourself with the latest trends in mid-frequency trading and crypto markets. Follow industry news, join relevant forums, and engage with thought leaders on platforms like LinkedIn to stay updated and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals already working in quantitative trading or crypto. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights and possibly refer you to opportunities.
✨Tip Number 3
Showcase your technical skills by contributing to open-source projects or creating your own trading algorithms. This not only enhances your portfolio but also demonstrates your practical experience and commitment to continuous learning in quantitative research.
✨Tip Number 4
Prepare for interviews by practising problem-solving and coding challenges related to quantitative finance. Brush up on your Python skills and be ready to discuss your previous trading strategies and their outcomes, as this will highlight your expertise and analytical thinking.
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, explain why you are passionate about quantitative research in crypto. Mention specific projects or strategies you've worked on that demonstrate your expertise and how they align with the role.
Showcase Relevant Skills: Clearly outline your skills in market microstructure and signal generation. Provide examples of how you've applied these skills in past roles to achieve positive results.
Highlight Team Collaboration: Since the role involves working with a multidisciplinary team, mention any experiences where you've successfully collaborated with engineers or other quants to develop trading solutions.
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 it relates to crypto trading. Be ready to explain how you would optimise latency and execution in your trading strategies, as this knowledge is crucial for the role.
✨Demonstrate Your Analytical Mindset
Prepare to discuss how you leverage data to refine trading strategies. Think of specific instances where your analytical skills led to improved performance or insights, and be ready to share these during the interview.
✨Collaborative Spirit
Since the role involves working closely with engineers and other quants, highlight your teamwork experiences. Share examples of successful collaborations and how they contributed to the development of trading solutions.
