Digital Assets - Quantitative Researcher

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.

• 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.