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The Office Administrator at Qube Research & Technologies will be responsible for supporting the team of traders, researchers, and technologists by managing office operations and administrative tasks such as greeting visitors, managing meetings, ordering supplies, and coordinating travel. The ideal candidate will be self-motivated, adaptable, and have experience in office administrative work.
Quantitative Developer role at Qube Research & Technologies involving working within a trading desk, collaborating with Quant Researchers and Traders, and solving technical challenges in algorithmic trading.
Develop real-time algorithms for electronic market-making of financial instruments, design and implement new functionalities for risk management, create test cases, support production components
Join Qube Research & Technologies as a Software Engineer working on C# driver and tooling. Responsibilities include designing, implementing C# clients, monitoring tools, and test suites. Prior experience in high performance server code, data structures, Big Data tools, and excellent communication skills required.
Join Qube Research & Technologies as a Software Engineer in the Data Engineering team. Design, build, and expand the data platform with a focus on new data pipeline framework. Collaborate with stakeholders and contribute to scalable solutions.
In this role, you are responsible for conducting financial data research, extracting data from various sources, ensuring accuracy, and collaborating with multiple teams. You will monitor financial news, automate processes using Excel and VBA, and support teams in utilizing the data effectively.
Develop Qube's Workday infrastructure and related technologies, analyze and deliver solutions/enhancements to HR technology systems/tools, serve as Workday SME, partner with Paris HR, ensure system and data interfaces are optimized, work as part of a global HR Tech team, implement process improvements, create and maintain dashboards.
Looking for a Software Engineer to join the Data team at Qube Research & Technologies. Responsibilities include developing scalable services, writing automated tests, and ensuring data quality. Required skills include Python, C#, SQL, and strong communication abilities.
Support the day-to-day setup and maintenance of Power, Gas, and GOO markets. Automate trade-support tasks and tools. Collaborate with multiple stakeholders.
In this role, you will test alternative datasets collaboratively, automate predictive feature extraction using machine learning, manage the data science project lifecycle, apply various data methods, and work with quantitative researchers and data engineers.
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