This is a research-adjacent engineering seat, not a support function. You will sit directly alongside the Portfolio Manager and quantitative researchers, building and enhancing the trading and research infrastructure that the strategies run on - with clear visibility of how your work translates into performance.

• Design, build and optimise the team's intraday trading framework, covering signal generation, order management and execution.
• Develop and maintain low-latency, production-grade systems in C++ and Python.
• Build and scale the research platform: backtesting engines, simulation environments and feature/signal pipelines.
• Own market data infrastructure - ingestion, normalisation, storage and reconciliation across Asian and global equity venues.
• Partner with researchers to productionise alpha signals and shorten the research-to-live cycle.
• Improve system performance, latency, reliability and monitoring across the stack.

• Bachelor's, Master's or PhD in Computer Science, Engineering, Mathematics or a related quantitative discipline from a top-tier university.
• Strong, demonstrable C++ development skills (modern C++, multithreading, performance optimisation) alongside solid Python.
• Experience building trading, execution or research infrastructure within a hedge fund, proprietary trading firm or bank systematic desk.
• Sound understanding of equity market microstructure and the mechanics of intraday / mid-frequency systematic trading.
• Comfortable working with large-scale time-series and tick data, and with Linux-based production environments.