Search the 66 jobs at Qube Research & Technologies

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.

As a Quantitative Developer at QRT, you will enhance data solutions for researchers, work on tick data management, develop a back testing engine, and collaborate with investment professionals to advance algorithmic trading systems.

The Senior Low Latency Developer will enhance QRT's market access systems for low latency and high frequency trading, collaborating with traders and technical teams to optimize system performance and streamline processes with exchanges.

As a Quantitative Developer at Qube Research & Technologies, you will enhance systematic trading software and collaborate with traders and quant researchers in a fast-paced environment. Your responsibilities include building real-time trading systems, designing maintainable architectures, and working on both manual and automated trading strategies.

Join Qube Research & Technologies' Global Server Team to design, build, and support Microsoft Windows Server-based technology. Responsibilities include supporting and optimizing Windows Server estate, monitoring performance, designing automation scripts, and evaluating new technologies for solutions.

Join the global Cloud Infrastructure team at Qube Research & Technologies to design, build, and support cloud services and solutions on AWS. Collaborate with various teams to drive adoption of cloud-based services and improve cloud infrastructure reliability, scalability, and security.

Create high-quality predictive signals, identify statistical patterns and opportunities, collaborate with other researchers, implement signals in the global execution platform, monitor signal behavior and model performance, lead strategy research cycle

As a Quantitative Strategist at Qube Research & Technologies, you will deliver high-quality analytics of trading and production data, develop new tools for risk management, share expertise with traders and researchers, and contribute to portfolio management. Your core objectives include providing strategic outputs to senior management and improving continuous monitoring.

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

Create predictive signals, identify statistical patterns, share research results, implement signals, monitor model performance, lead research cycle

Manage extensive datasets for QRT's research and trading platform, contribute to the design and implementation of the data store and its API, monitor data fetching processes, integrate alternative datasets, and support users.