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Quantitative Developer Hong Kong We are looking for a skilled and driven Quantitative Developer to join a high-performing systematic trading group. This role is suited to someone with a strong engineering foundation, a curiosity for financial markets, and a desire to build scalable, low-latency trading infrastructure. You will collaborate closely with quantitative researchers and engineers to deliver robust systems that directly support live trading. Key Responsibilities Build and enhance low-latency trading infrastructure, including market data pipelines, execution systems, and order management platforms. Continuously refine existing systems to improve speed, efficiency, and scalability. Maintain system stability and resilience through comprehensive testing, monitoring, and incident response. Contribute to code quality through reviews and adherence to best engineering practices. Explore and adopt new technologies to improve development workflows and system performance. Requirements Master’s degree in Computer Science, Engineering, or a related discipline. 5+ years of software engineering experience within financial markets (e.g. hedge funds, proprietary trading firms, or investment banks). Strong programming expertise in C++ and/or Python, alongside experience with databases such as SQL or KDB. Solid grounding in algorithms, data structures, and software architecture. Strong analytical thinking, attention to detail, and the ability to work effectively in a collaborative environment. Desirable Experience Prior exposure to systematic or algorithmic trading systems. Familiarity with DevOps tooling and continuous integration / deployment pipelines. Experience supporting trading workflows, including risk systems and trade lifecycle troubleshooting. Knowledge of market data feeds and APIs (e.g. Bloomberg, Reuters, exchange-native protocols). Exposure to cloud platforms such as AWS or Azure. Understanding of machine learning techniques or data-driven modelling.
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The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.