Pinpoint Asia
Senior Software Engineer - C++ (Trading Systems) - J12269
Skills
20 days ago
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Important information
Contract type:
Permanent
Location:
Hong Kong
Work mode:
Onsite
Published on:
7 October 2026
What they need
About the Client: Our client is a highly successful, global quantitative investment manager. They rely on a scientific approach to trading, combining vast amounts of data with advanced technology to find alpha across multiple liquid asset classes. They operate with a collaborative, research-driven mindset and invest heavily in their core engineering teams.
The Role & Landscape: You will join the core technology team responsible for the platform that handles real-time and end-of-day pricing and risk calculations across the firm.
- Design and build highly concurrent, low-latency services in C++ on Linux.
- Integrate complex pricing models developed by the quant team into the production trading environment.
- Work on distributed systems architecture, ensuring the platform scales to handle massive market data volumes.
- Collaborate directly with traders, risk managers, and operations to solve critical business problems.
- Potential to expand scope into order management, trade lifecycle, and market data systems.
What We Are Looking For:
- Strong background in C/C++ development (4+ years), ideally within a front or middle office trading environment.
- Deep expertise in building low-latency, high-throughput systems on Linux using STL.
- Proven experience designing and implementing complex multithreaded and distributed applications.
- Comfortable working with Python.
- Ideally, you have an understanding of pricing models and asset classes (Equities, Futures, Options, Swaps).
- Excellent communication skills—you must be comfortable interacting directly with the business.
Why Apply To This Role: This is a high-visibility role where your code directly impacts the firm's trading capability and risk management. You won't be siloed; you'll work closely with the brightest minds in quant research and trading. The engineering culture is strong, focusing on solving hard technical problems with clean, performant code.
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