Search the 99 jobs at Qube Research & Technologies

As a Logistics Specialist at Qube Research & Technologies, you will manage and optimize the supply chain of IT equipment, including inventory management, distribution coordination, and logistics operations. You will track IT assets, support staff, generate reports, and analyze data to improve logistics processes.

As a Quantitative Researcher, you'll develop high-quality predictive signals by analyzing large datasets to uncover statistical patterns. You will implement successful strategies on a global platform, while monitoring model performance and sharing research methodologies with your team.

As a Talent Acquisition professional at QRT, you will manage the full hiring process for high-frequency trading technology roles, engage top talent through various channels, ensure a positive candidate experience, and collaborate with hiring managers to meet technical needs.

As a DevOps tech-lead manager at QRT, you will lead a team managing data ingestion, processing, and serving systems for large-scale data needs, while ensuring best practices in a high-performance environment.

The role involves developing new features and maintaining the trading platform for APAC markets, collaborating closely with traders and researchers to implement algorithms, and managing market-specific processes for production.

As a Data Centre Operations Manager, you will lead a team responsible for designing and operating the datacentre and co-location estate for Qube Research & Technologies. This role involves ensuring high-performance computing and data platforms, managing capacity, and overseeing all aspects of datacentre solutions including design, maintenance, and security standards. You will collaborate with various infrastructure partners and maintain relationships with third-party providers.

The role focuses on delivering a recruitment campaign for QRT to attract and retain top talent in quantitative research and trading. Responsibilities include managing the recruitment cycle, analyzing hiring trends, partnering with HR for graduate programs, and implementing diversity frameworks.

The Quantitative Developer at QRT is responsible for designing and maintaining Python and C++ tools for quantitative research, overseeing the deployment of trading signals, managing data processing, and implementing algorithms. Collaborating with researchers and traders, the role demands strong technical skills and the ability to support and optimize existing systems.

As a DevOps Engineer at QRT, you will design and manage CI/CD pipelines, automate trading systems, collaborate with trading and IT teams to optimize solutions, maintain infrastructure as code, and enhance cloud infrastructure. You'll ensure high system performance and document processes.

As a Software Engineer in the Treasury Trading team, you will develop and deliver solutions for the Treasury desk, focusing on building large scale applications with high-quality code. Your role requires interaction with business stakeholders and understanding modern software architecture.

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.

As a Quantitative Developer at QRT, you will enhance electronic and algorithmic trading systems, support strategy implementation alongside traders and quants, and innovate within a collaborative development team, utilizing modern technologies.

The Logistics Specialist manages and optimizes the supply chain for IT equipment and services, working on inventory management, procurement, and distribution of IT assets. Responsibilities include maintaining accurate inventory records, coordinating logistics operations, implementing asset tracking systems, and providing training and support to staff. Additionally, the role involves generating reports and analyzing data to improve operations.

The DevOps Engineer at QRT will maintain infrastructure and CI, deploy applications, and provide troubleshooting support. The role requires a deep understanding of DevOps principles and collaboration with development teams.

As a Quantitative Analyst at QRT, you will focus on delivering high-quality analytics for trading and production data, ensuring data accuracy and integrity. You will manage data processes, resolve discrepancies, and respond to inquiries regarding financial metrics and trading data, providing insights to traders and management.

As a Software Engineer in the Risk team, you will build and deliver solutions for Risk Management and Trading desks, focusing on high-quality, scalable applications. You must possess strong communication skills and extensive software development experience, particularly in Python and cloud technologies.

The Senior Network Engineer will architect and deliver network solutions for QRT's infrastructure, focusing on high-performance networks and automation. The role involves collaborating with research and engineering teams, overseeing the implementation of network infrastructures, and maintaining cutting-edge technology. Candidates should have expertise in various networking products and a strong background in software-driven network design.

As a Quantitative Developer at QRT, you will develop tools for voice and electronic trading, including dashboards and visualization tools. You'll ensure production processes align with business objectives and adapt the tech stack to meet changing needs in a collaborative, fast-paced environment.

As a Quantitative Developer at QRT, you will work closely with Quant Traders and Researchers on a trading desk, impacting the desk's success directly. Your role involves developing algorithmic trading solutions, tackling technical challenges in ultra-low-latency trading, and working with large datasets and analytics infrastructure.

The Distributed Computing Engineer will design, implement, and manage distributed computing solutions using Ray and Yellowdog, optimize Python applications for distributed systems, and collaborate on integrating solutions into existing workflows. Responsibilities also include monitoring and supporting distributed environments and guiding team members on best practices.