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This role focuses on maintaining system reliability and performance, implementing automation tools, and collaborating with teams to optimize operations within QRT.

Responsible for managing the vulnerability management program through discovery, analysis, technical validation, remediation support, and automation in both infrastructure and cloud environments.

The role involves developing and maintaining execution tools for trading, emphasizing collaboration, reliability, and responsiveness. It requires strong software engineering skills, especially in Python and production-quality applications.

The Vulnerability Management Lead will oversee vulnerability management initiatives, coordinate with teams for patching, and ensure compliance while improving processes and communication regarding vulnerabilities.

Oversee the build and maintenance of data centres, coordinate installations, ensure standards compliance, design solutions for observability, and automate workflows.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.

Lead the implementation of a ClickHouse database, coordinating between technical teams and stakeholders to meet user requirements and manage project risks.

The role involves developing and enhancing an ultra-low-latency trading platform using modern C++. Candidates should have experience with multithreaded systems and distributed network architecture.

As a Quantitative Developer intern, you will work on engineering solutions for quantitative research and trading, focusing on infrastructure, low-latency systems, and tool development.