Partnered with a leading multi manager fund, scaling their multi-asset arbitrage team.
This Data Engineering seat sits directly alongside portfolio managers and quantitative researchers, building the trading infrastructure and analytics that support front-office investment decisions across multiple asset classes.
It’s a genuinely high-impact engineering role where you’ll own projects end-to-end, from architecture and implementation through to production, and have the opportunity to shape a modern trading platform rather than simply maintain existing systems.
They’re particularly interested in engineers with strong Python/Data skills, experience building data infra or distributed systems, and exposure to technologies such as Kafka, Kubernetes, Redis or PostgreSQL.
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