Data Analytics Engineer

at  Qube Research Technologies

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.
We are looking for an exceptional Quantitative Developer to join the Data Search & Analytics team. In this role, you will work directly with the Research and Trading desks to improve their productivity and efficiency.

Your present skillset

• Advanced programming experience in Python; C/C++, C# is a plus
• 3+ years of experience as a Data Engineer/Analyst/Scientist
• Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics
• Capacity to work with autonomy within a global team (researchers and data engineers)
• Experience with Bloomberg/Reuters data ecosystems
• A keen interest in financial markets, data analysis, and programming
• Fast learner, intellectual curiosity, problem solver
• Ability to work in a high-performance, high-velocity environment
• Excellent communication skills, both written and verba

This team is integral to the firm’s success. As such, your responsibilities will include:

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
• Proactively solving data related problems in order to minimise time to production
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production

Your present skillset

• Advanced programming experience in Python; C/C++, C# is a plus
• 3+ years of experience as a Data Engineer/Analyst/Scientist
• Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics
• Capacity to work with autonomy within a global team (researchers and data engineers)
• Experience with Bloomberg/Reuters data ecosystems
• A keen interest in financial markets, data analysis, and programming
• Fast learner, intellectual curiosity, problem solver
• Ability to work in a high-performance, high-velocity environment
• Excellent communication skills, both written and verbal

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 achieve a healthy work-life balance