Quantitative Analytics Research And Trading 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...
Quantitative Researcher
Quantitative Researcher: China Focus - Tier One Global Quant TeamWe are thrilled to present an incredible opportunity to join our client's high-performing global SMAD team in an ambitious and innovative role as a Quantitative Researcher, based in Hong Kong. As a VP or Director-level professional, you will play a pivotal role in enhancing the succes...
Site Reliability Engineer
You'll work closely with technologists, traders, and quants to support and enhance a highly automated trading environment. The role is hands‑on with Linux/Unix, focusing on building tools that improve stability, performance, and reliability across distributed systems.You'll also help develop and maintain Linux-based build and deployment tooling, wh...
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Site Reliability Engineer
You'll work closely with technologists, traders, and quants to support and enhance a highly automated trading environment. The role is hands‑on with Linux/Unix, focusing on building tools that improve stability, performance, and reliability across distributed systems.You'll also help develop and maintain Linux-based build and deployment tooling, wh...
Middle Office Analyst (Crypto) Algorithmic Trading firm
Key ResponsibilitiesMonitor news sources, exchange notices, and platform updates to provide timely insights for business decision‑making.Maintain and optimize configurations for news‑aggregation and data‑capture systems to ensure accurate, real‑time information flow.Update and validate fee structures across internal platforms to maintain consisten...
ML / AI Engineer
ResponsibilitiesLead the design and development of a scalable, reliable, and reproducible machine learning research platform.Build infrastructure to support large-scale experimentation, model training, and simulation across both on‑premise high‑performance compute environments and multi‑cloud setups.Work closely with researchers to understand evolv...
