We are working with leading global financial institutions and trading firms who are expanding their low-latency equities trading platforms in Hong Kong. These teams build and operate mission-critical event-driven systems that support high-volume trading market data processing and exchange connectivity across global markets.
This is a hands-on engineering role for experienced C developers who enjoy working close to trading and quantitative teams with a strong focus on performance reliability and scalability.
What Youll Be Working On
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Designing and developing high-performance C trading systems handling real-time market data orders and executions across global venues
-
Optimising latency throughput and stability in ultra-low-latency event-driven environments
-
Building and enhancing exchange and broker connectivity including order routing and market data pipelines
-
Collaborating closely with traders quantitative researchers and technologists to deliver new functionality and improve existing platforms
-
Contributing to core libraries and shared infrastructure promoting clean reusable and maintainable code
-
Supporting production systems and participating in controlled releases in a fast-moving trading environment
Key Requirements
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Strong hands-on experience in C (C17/20)
-
Solid knowledge of data structures algorithms and system design
-
Experience with multi-threaded parallel and asynchronous programming
-
Strong understanding of performance optimisation and low-latency systems
-
Experience working in Linux/Unix environments
-
Exposure to trading systems market data execution platforms or exchange connectivity
-
Ability to communicate effectively with both technical and non-technical stakeholders
Nice to Have
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Experience in equities trading prime brokerage or proprietary trading environments
-
Background in algorithmic or high-frequency trading systems
-
Low-level networking knowledge (TCP/IP FIX socket programming)
-
Python experience for tooling research or automation
We are working with leading global financial institutions and trading firms who are expanding their low-latency equities trading platforms in Hong Kong. These teams build and operate mission-critical event-driven systems that support high-volume trading market data processing and exchange connectivi...
We are working with leading global financial institutions and trading firms who are expanding their low-latency equities trading platforms in Hong Kong. These teams build and operate mission-critical event-driven systems that support high-volume trading market data processing and exchange connectivity across global markets.
This is a hands-on engineering role for experienced C developers who enjoy working close to trading and quantitative teams with a strong focus on performance reliability and scalability.
What Youll Be Working On
-
Designing and developing high-performance C trading systems handling real-time market data orders and executions across global venues
-
Optimising latency throughput and stability in ultra-low-latency event-driven environments
-
Building and enhancing exchange and broker connectivity including order routing and market data pipelines
-
Collaborating closely with traders quantitative researchers and technologists to deliver new functionality and improve existing platforms
-
Contributing to core libraries and shared infrastructure promoting clean reusable and maintainable code
-
Supporting production systems and participating in controlled releases in a fast-moving trading environment
Key Requirements
-
Strong hands-on experience in C (C17/20)
-
Solid knowledge of data structures algorithms and system design
-
Experience with multi-threaded parallel and asynchronous programming
-
Strong understanding of performance optimisation and low-latency systems
-
Experience working in Linux/Unix environments
-
Exposure to trading systems market data execution platforms or exchange connectivity
-
Ability to communicate effectively with both technical and non-technical stakeholders
Nice to Have
-
Experience in equities trading prime brokerage or proprietary trading environments
-
Background in algorithmic or high-frequency trading systems
-
Low-level networking knowledge (TCP/IP FIX socket programming)
-
Python experience for tooling research or automation
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