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Develop and enhance core technology for systematic trading, including front-office systems and automation of trading strategies. Collaborate with traders and quants.

Lead end-to-end delivery of multiple trading and enterprise infrastructure projects, including colocation site builds, datacenter provisioning, exchange connectivity, and compute allocation. Coordinate with networking, data centre operations, vendors, brokers and exchanges, track progress in JIRA, and ensure resilient, high-performance platforms delivered on time and to quality standards.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

Work with quantitative researchers and portfolio managers to build, maintain and productionise quantitative trading frameworks and strategies, develop tooling and ML pipelines, improve engineering standards, and deliver robust production solutions for systematic trading.

The role involves collaborating with researchers and traders to design datasets, developing data pipelines, and optimizing data extraction processes.

The role involves collaborating with various teams to design and implement storage solutions, maintain vendor relationships, and develop data backup strategies.