Search the 6 jobs at Qube Research & Technologies

Conduct in-depth financial data research and analysis, automate data extraction and processing using Python scripts, collaborate with cross-functional teams, and stay updated on financial data research trends and tools.

Looking for a Software Engineer to join the Data Engineering team at Qube Research & Technologies. Responsibilities include designing and developing scalable data platforms, collaborating with stakeholders, and optimizing data performance. Prior experience with financial data is a plus but not required.

Create high-quality predictive signals using large datasets, identify statistical patterns, implement signals, and monitor performance. Strong coding skills in Python, R, Matlab, C++, C#. Advanced degree in quantitative field required. Ability to multi-task, explore large datasets, and work autonomously.

Develop ETL pipelines, manage cloud-based systems, monitor and support trading infrastructure for the Commodities desk at Qube Research & Technologies.

Manage extensive datasets, design and implement data store/API, integrate datasets, support users (Quants & Traders). Requires advanced Python knowledge, experience with structured/unstructured data, financial assets/market data familiarity, and new age technologies.

Test/evaluate new alternative datasets, automate data extraction, manage data science projects, operate various methods, collaborate with data engineers and researchers