Quantitative Developer - Python (Data)

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.