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The Trading Support Analyst role involves supporting the setup and maintenance of Power, Gas, and GOO markets, automating trade-support tasks, and collaborating with various stakeholders to ensure business operations run smoothly.
As a Performance Engineer at QRT, you will tune and optimize Linux systems on x86 hardware to achieve low-latency trading objectives. This involves configuring the Linux kernel, building custom systems, and supporting FPGA systems, while documenting processes and results clearly.
As a Senior Linux Platform Engineer at QRT, you will lead infrastructure operations, specializing in Linux systems, high-performance computing, and network tuning. Responsibilities include system performance optimization, troubleshooting complex issues, and collaborating with research and trading teams. You will implement and oversee workload scheduling, system management, and software development lifecycle processes.
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.
The Senior Storage Engineer will lead the infrastructure team at QRT, focusing on high-performance storage systems for HPC. Responsibilities include building, testing, and supporting Linux-based workloads, optimizing storage protocols, and collaborating with research teams using AI/ML technologies.
Collaborate with development teams to translate business requirements into cloud-based solutions. Design, develop, and manage cloud infrastructure and applications using AWS services and AWS CDK. Implement and maintain CI/CD pipelines for automated code deployment. Write and maintain scripts in Python to automate cloud operations and infrastructure tasks. Monitor cloud environments, analyze performance metrics, and recommend improvements to current processes and technologies.
In this role, you will create predictive signals by analyzing large datasets, identifying statistical patterns, and sharing research results with peers. You will need strong skills in coding and a background in quantitative fields.
This role offers various technology opportunities including infrastructure, cloud, C++, and quantitative development. Responsibilities include tuning Intel CPUs, containerization, developing automation scripts, creating trading systems, and supporting quantitative trading frameworks. Candidates will engage with cutting-edge technologies and collaborate with teams to implement innovative solutions.
This role involves creating predictive signals by analyzing large datasets to identify patterns. You'll share research results and methodologies with colleagues in a fast-paced environment, requiring attention to detail and coding skills in programming languages such as Python or R.
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.
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