Financial Technology Jobs in Hong Kong
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Site Reliability Engineer
In this role, you will:Design and develop Python and Bash scripts to monitor the health, performance, and dependencies of a mission-critical production environmentMonitor and support a highly distributed Linux-based trading systemPartner with the Platform Engineering team on server imaging, testing, deployment, and system configurationAct as a key...
Low-Latency Developer C++ / Rust | Crypto Firm
Our client, a leading crypto market-making firm, is seeking a senior Low‑Latency Developer to join their high‑performance trading technology team in Hong Kong. This is a senior engineering role for developers with a deep track record in building ultra‑fast, highly optimized systems that operate under extreme throughput and microsecond-level latency...
AI Engineer
ResponsibilitiesBuild and deploy end‑to‑end GenAI solutions using RAG, agent frameworks, and MCP servers, linking LLMs with internal systems through APIs from major AI providers.Work closely with investment and business teams to surface impactful use cases, convert requirements into technical workflows, and deliver training, prompts, and clear docu...
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AI Engineer
ResponsibilitiesBuild and deploy end‑to‑end GenAI solutions using RAG, agent frameworks, and MCP servers, linking LLMs with internal systems through APIs from major AI providers.Work closely with investment and business teams to surface impactful use cases, convert requirements into technical workflows, and deliver training, prompts, and clear docu...
Infrastructure Engineer
Who we are? A fast-growing high-frequency trading firm specializing in automated market-making strategies. We strive to be at the bleeding edge of low latency execution, financial modelling and risk management. The opportunity We continuously strive for world-class infrastructure to support our strategies. For the next stage of our growth, we are l...
Data Scientist (Pricing Data)
Who We AreOur client is a quantitative technology firm operating across global markets. The team combines data science, engineering, and research to build high‑performance, data‑driven systems. They take a scientific, experimentation‑driven approach and value individuals who thrive in fast‑moving, high‑ownership environments where data quality and ...
