Digital Assets - Quantitative Researcher

Digital Assets - Quantitative Researcher

Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Create high-quality Crypto signals and monitor trading strategies.
  • Company: Join Qube Research & Technologies, a leader in quantitative investment management.
  • Benefits: Enjoy a healthy work-life balance and diverse workplace culture.
  • Other info: Collaborative environment with opportunities for professional growth and exploration.
  • Why this job: Make an impact in the crypto world with innovative research and technology.
  • Qualifications: 2+ years in finance, advanced degree in a quantitative field, coding skills required.

The predicted salary is between 54000 - 66000 £ 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.

Your present skillset

  • 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, De Fi, 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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Digital Assets - Quantitative Researcher employer: Quberesearchandtechnologies

At Qube Research & Technologies, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel in their roles. As a Networks & Infrastructure Leader based in London, you will benefit from unparalleled opportunities for professional growth, mentorship, and collaboration within a cutting-edge environment focused on innovation in low-latency trading. Join us to be part of a team that values your expertise and encourages you to lead with confidence while making a significant impact on our business success.

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Contact Details:

Quberesearchandtechnologies Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Digital Assets - Quantitative Researcher

Quantitative Analysis
Statistical Knowledge
Machine Learning
Natural Language Processing (NLP)
Artificial Intelligence (AI) Techniques
Data Science
Python Programming

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