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- Tasks: Create high-quality Crypto signals and monitor trading strategies.
- Company: Join Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Enjoy a collaborative culture, flexible work options, and initiatives for work-life balance.
- Why this job: Be part of an innovative team solving complex challenges in the exciting world of crypto.
- Qualifications: 2+ years in finance, advanced degree in a quantitative field, coding skills required.
- Other info: Diversity is celebrated here; we value unique perspectives and ideas.
The predicted salary is between 43200 - 72000 £ per year.
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
- Create high quality Crypto signals on various exchanges and platforms.
- Monitor your own trading, strategy performance and all relevant risks.
- Your core objective is to create high quality predictive signals.
- By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
- Share and discuss research results, methodology, data sets and processes with other researchers.
- Implement the signals and the relevant datasets within the global execution platform.
- Monitor signal behaviour and model performance over time within your strategies.
- You would lead the full strategy research cycle from signal generation to implementation.
- Proven track record in delivering successful Crypto systematic strategies.
- Minimum 2 years of experience in the financial industry.
- Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
- Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
- Capacity to multi-task in a fast-paced environment while keeping strong attention to detail.
- Good fundamental crypto knowledge is a plus.
- Experience with one or more of the below is a plus:
- Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production.
- Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial.
- Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
- Capacity to work with autonomy within a collegial and collaborative environment.
- Strong capacity to communicate with technologists, data scientists and traders across the globe.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.
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Crypto | Quantitative Researcher employer: Qube Research & Technologies Limited
Contact Detail:
Qube Research & Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Crypto | Quantitative Researcher
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in the crypto space. Being well-versed in current market dynamics and innovations will not only enhance your understanding but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Engage with the crypto community through forums, webinars, and social media platforms. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals that could boost your chances of landing the job.
✨Tip Number 3
Showcase your coding skills by working on personal projects or contributing to open-source initiatives related to crypto trading strategies. This practical experience can set you apart and demonstrate your ability to implement theoretical knowledge in real-world scenarios.
✨Tip Number 4
Prepare to discuss your previous experiences with quantitative research and systematic strategies in detail. Be ready to explain your thought process, methodologies, and the outcomes of your work, as this will highlight your expertise and problem-solving abilities.
We think you need these skills to ace Crypto | Quantitative Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research, particularly in the crypto space. Emphasise any successful strategies you've developed and your coding skills, especially in Python.
Craft a Compelling Cover Letter: In your cover letter, express your passion for crypto and quantitative research. Discuss how your background in statistics, machine learning, or AI techniques aligns with QRT's goals and culture of innovation.
Showcase Your Projects: If you have worked on specific projects related to crypto signals or systematic strategies, include these in your application. Detail your role, the methodologies used, and the outcomes achieved to demonstrate your expertise.
Highlight Collaborative Skills: Since QRT values collaboration, mention any experiences where you successfully worked with teams of technologists, data scientists, or traders. This will show that you can thrive in their collegial environment.
How to prepare for a job interview at Qube Research & Technologies Limited
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience in quantitative research and how you've applied statistical methods in previous roles. Highlight any specific projects where you successfully generated predictive signals or strategies.
✨Demonstrate Your Crypto Knowledge
Familiarise yourself with current trends and challenges in the crypto market. Be ready to discuss your understanding of various crypto assets, DeFi, and how they relate to systematic trading strategies.
✨Prepare for Technical Questions
Expect questions related to coding and data analysis. Brush up on your programming skills, particularly in Python, and be ready to solve problems or explain your thought process during the interview.
✨Emphasise Collaboration and Communication
Since the role involves working with diverse teams, highlight your ability to communicate complex ideas clearly. Share examples of how you've collaborated with technologists, data scientists, or traders in the past.
