As a Senior C++ Low-Latency Developer, you will design, develop, and optimize trading systems, enhance core trading systems and execution gateways, and work closely with teams to ensure performance and reliability in trading applications.

The Infrastructure Support Engineer at QRT is responsible for ensuring a secure and scalable AWS cloud infrastructure, troubleshooting complex issues, developing automation scripts with tools like Terraform, monitoring performance, and collaborating with development teams to optimize application deployment.

As an Operations Analyst at Qube Research & Technologies, you will handle broker matching, fails monitoring, position reconciliations, and liaising with various teams to resolve issues. Your role requires problem-solving and strong communication skills in a collaborative environment focused on supporting the equities space.

Join Qube Research & Technologies as a Graduate in Infrastructure Engineering. You'll work with infrastructure and cloud engineering teams to develop and maintain platforms, ensuring the reliability and scalability of research and trading systems. Roles include Infrastructure DevOps, Network Operations, or Research Infrastructure Engineer, all focused on technology, automation, and high-performance computing.

The role involves designing, building, and supporting cloud-based services, collaborating with various teams to adopt AWS solutions, and managing critical infrastructure supporting research and trading technologies.

The Infrastructure Support Engineer at QRT is responsible for managing and troubleshooting AWS cloud infrastructure, developing automation scripts, optimizing performance, and collaborating with development teams to support application deployment and operation on AWS.

The Team Administrator will support Executive Assistants, managing travel arrangements, expense reports, and office supplies. The role includes facilitating meetings, handling general office tasks, and providing assistance with various administrative duties and ad hoc projects.

As a Senior C++ Developer and Tech Lead at QRT, you will enhance high throughput Linux-based services and work on various electronic trading systems. Collaboration with quantitative analysts and traders is key to design innovative systems for improving investment management.

The Quantitative Developer will design, develop, and support software for trading signal research, partnering with researchers and traders. Responsibilities include managing large datasets, implementing algorithms, and ensuring high-performance applications using HPC and distributed systems.

The HPC Software Engineer will develop a scalable research platform for managing high-performance computing resources. Responsibilities include designing systems for resource scheduling, building libraries for workload submission, optimizing distributed compute systems, and collaborating with research teams to enhance computational research capabilities.

As a Software Engineer at QRT, you will design and develop scalable services, maintain data quality, automate lifecycle events, and handle compliance and reporting while collaborating with various stakeholders.

As a Quantitative Developer at Qube Research & Technologies, you will enhance the quant technology stack for systematic trading, build front-office systems, and automate trading strategies. You'll work with traders to support integrations with on-chain data feeds and mentor junior team members, ensuring high standards of code quality.

The Market Access Execution Lead will enhance QRT's trading gateway systems, ensuring effective market execution. Responsibilities include leadership, mentoring, hands-on development, performance optimization of systems, and project management in collaboration with internal teams and external partners.

As a Machine Learning Research Engineer at Qube Research & Technologies, you will manage data pipelines, implement advanced machine learning frameworks, and support research teams with coding and workflow optimization. Your role involves enhancing model performance and providing technical solutions for ML applications.

As a Quantitative Developer at QRT, you will enhance researcher productivity by developing and scaling tools to optimize workflows, focusing on automation and efficiency. The role involves collaborating with researchers to address challenges and implement impactful solutions.

As a Software Engineer at QRT, you will build the core Risk and PnL system, collaborating with trading and risk managers to deliver real-time and end-of-day Risk and PnL information. The role requires strong communication skills and a focus on problem resolution in a fast-paced environment.

The Software Developer will enhance QRT's trading and data management systems, collaborate with traders and quants on strategy execution, develop a new trading framework, and utilize advanced technologies while maintaining high code quality standards.

The Trading Support Analyst provides business support through accurate analysis and reporting of PnL, manages corporate actions, produces daily reports, conducts gap analysis, maintains reporting tools, and collaborates with stakeholders across trading, research, and operations.

As a Quantitative Developer, you will develop and maintain a Python library for strategy implementation, create pipelines for research and trading, manage production systems, and utilize your skills in Python, Rust, and C to enhance platform performance.

The Quantitative Data Analyst at QRT focuses on sourcing and onboarding new datasets, improving productivity for the Research and Trading desks, proactively solving data-related problems, and managing data sourcing projects from acquisition to production.