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
Test/evaluate new alternative datasets in collaboration with quant researchers and data teams
Once identified with machine learning and statistical methods, automate the extraction of predictive features
Manage the full lifecycle of data science projects: data acquisition/exploration/engineering, prototyping, and production
Operate a wide array of methods, including unsupervised, supervised, learning, natural language processing (NLP), anomaly detection etc
Work in collaboration with data engineers, quantitative researchers, to help understand and architect the systems
Your present skillset
A keen interest in financial markets, data analysis and programming
Structured and unstructured data management expertise
Advanced programming experience in Python, C/C++, C# is a plus
Cloud platforms (AWS, GCP, etc.) expertise
Intellectual curiosity to identify emerging and alternative data
Capacity to work with autonomy within a global team (researchers and data engineers)
Post Graduate degree in Data Science, Computer Engineering, Mathematics or Statistics
3+ years of experience as a Data Engineer/Analyst/Scientist
Significant experience in NLP preferred
Ability to work in a high-performance, high-velocity environment
Excellent communication skills
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.