Quant jobs / NLS
C++ Market Data Engineer - Global Trading Firm - Hong Kong
A recruiter seeks a C++ market-data engineer for an unnamed trading firm. The role builds low-latency feeds, order-book state and reliable data distribution.
What you’d work on
Our reading of the posting: what a new hire in this role would most likely spend their first months on.
- Implement exchange-feed parsers and normalised data services.
- Build order-book and market-state components.
- Improve sequencing, replay and recovery while profiling performance.
What they ask for
Required
- Modern C++
- Network and binary-protocol programming
- Linux profiling
- Concurrency and lock-free techniques
- Market-data and order-book concepts
- Education
- No degree requirement stated.
- Experience
- 3 or more years in relevant engineering work.
- Languages and tools
How to prepare
- Reconstruct an order book from sequenced feed messages.
- Build replay tests for packet loss and recovery.
- Benchmark parser latency and memory use under burst traffic.
What to study
- Modern C++ for Quantitative Finance
- Quantitative Data Engineering
- Trading Systems and Low-Latency Infrastructure
The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.
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Read the full posting on NLS’s site before applying: requirements, location and pay can change after we check them.
View the posting on NLS’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with NLS and doesn’t handle applications.
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