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This role involves designing and developing complex front-office trading software, utilizing machine learning and LLMs to process data and build user interfaces for traders. The engineer will own the full development lifecycle, from requirements gathering to production support, using technologies like React, C#, Java, Go, or C++.
Build and optimize data pipelines for quant research and trading teams using Python, NumPy, Pandas, and HDF5 to process large datasets and support trading strategy development.
Builds and maintains data pipelines to feed quantitative research and trading systems using Python and data-science tooling.
Build and maintain exchange-facing systems and trading tools using full-stack development with React, REST APIs, and ML techniques in a fast-paced fintech environment.
Build full-stack trading applications and data UIs in a fast-paced finance environment using C#, Java, or Go.
Builds full-stack trading systems using React, REST APIs, and ML techniques to process financial data and improve user interfaces for traders.
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