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A data engineer joins a hedge fund's trading technology team in London, building analytics and data pipelines that support front-office investment decisions across multiple asset classes. Day to day they own projects end-to-end—from architecture through production—working alongside portfolio managers and quantitative researchers.
A front-office data engineer at a multi-manager hedge fund in London, building trading infrastructure and analytics alongside portfolio managers and quant researchers. You own projects end-to-end, from architecture to production, using Python and data/distributed-systems tooling like Kafka, Kubernetes, Redis, and PostgreSQL.
Data Engineer I - QuantumBlack, AI by McKinsey A world‑leading global quantitative hedge fund is looking for a Data Engineer to support their systematic trading and research platform, with a focus on building,…
A quantitative developer joins a systematic equities trading pod at a global hedge fund, building and deploying classical and deep learning models on high-frequency market data and scaling distributed research-to-production workflows. Core stack: Python, distributed computing, Linux, with C++ an advantage.
A Data/Software Engineer at a quant hedge fund works on data ingestion, data management, application development, and extending their research data platform to support front office operations.
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