Quant jobs / Schonfeld
2027 Quantitative C++ Developer Intern
A 3–6 month internship on Schonfeld's Hong Kong team building high-performance trading, market data and backtesting systems. It suits strong C++ programmers and competitive programmers.
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.
- Develop and optimise low-latency trading systems and market data engines
- Implement high-performance data structures and algorithms for core modules
- Build strategy backtesting framework components
- Explore agentic AI and LLM tools for research and code workflows
What they ask for
Required
- Modern C++ (C++17+), STL and templates
- Memory management
- Data structures and algorithms
- Linux
- Agentic AI or LLM experience
Preferred
- Competitive programming results
- Backtesting, HFT or market data projects
- Multithreading and lock-free structures
- Network programming (TCP/UDP, multicast)
- Python
- Open-source contributions
- Education
- Pursuing a Bachelor's or Master's in computer science or a related field.
- Experience
- Current students
- Languages and tools
How to prepare
- Write a limit order book in C++ and benchmark it
- Practise algorithms and complexity analysis through contest problems
- Learn lock-free queues and basic concurrency
- Build a simple multicast market-data feed handler
What to study
- Modern C++ for Quantitative Finance
- Trading Systems and Low-Latency Infrastructure
- Market Microstructure and Execution
- Python for Quantitative Finance
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 Schonfeld’s site before applying: requirements, location and pay can change after we check them.
View the posting on Schonfeld’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Schonfeld and doesn’t handle applications.
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