Treasury Data Engineer

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About this role

Treasury Data Engineer London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. The Treasury function is the financing backbone of QRT, managing the firm's funding, collateral, margin, cash balances, and counterparty relationships across geographies and asset classes. The Treasury Analytics team builds the data infrastructure and tooling that gives the desk visibility into financing costs, margin requirements, and cash movements. The systems we build direct inform how the firm deploys its capital. Join our Treasury Analytics team in London as a Data Engineer, supporting and evolving the data infrastructure that powers Treasury's analytics platform, enabling the desk to analyse and optimise how the firm finances its positions in real time. Role responsibilities - Design, build and maintain data pipelines to ingest, transform, and serve Treasury data across multiple sources and analytics systems - Develop and maintain analytical tools to optimise margin, collateral, cash balances, and financing positions across counterparties - Build the datasets and APIs that power Treasury's analytics platform, enabling the desk to optimise financing costs, monitor counterparty exposure, and manage liquidity in real time - Evolve the infrastructure as the desk grows by

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