Quant Trading Infrastructure Developer Intern

Castle Technologies Limited; Hong Kong; Hybrid; HKD 89,000 - 134,000; Full time

Job summary

Castle Technologies Limited in Hong Kong is offering a Quant Trading Infrastructure Developer Intern role. You will develop and test low-latency trading infrastructure, participate in live trading system development, and gain exposure to production environments.

Candidates are expected to be pursuing a Bachelor or Master in a quantitative field, with solid C++ and Python skills, and a passion for high-performance computing and algorithmic trading.

Qualifications

• Solid coding ability in C++/Python with knowledge of data structures and algorithms.
• Strong problem-solving and independent debugging skills.
• Currently pursuing a Bachelor's or Master's in a quantitative field.
• Prior trading system or production deployment experience not required.

Responsibilities

• Develop and maintain low-latency market data feed interfaces and order execution for live trading.
• Implement high-performance modules using C++ and Python.
• Optimize system performance and memory management.
• Debug, test, and stabilize live trading pipelines for production deployment.
• Collaborate with the in-house trading team to iterate infrastructure with live requirements.

Skills

C++

Python

Algorithms

Debugging

Education

Bachelors or Masters student in CS/SE/EE/Math/Physics

Job description

Quant Trading Infrastructure Developer Intern

We are looking for a technical intern to develop, test and optimize low-latency systematic trading infrastructure. The core work includes market data connection, order execution interface implementation, and backend trading module iteration. The intern will directly participate in live trading system development and gain first-hand production environment experience.

Key Responsibilities

• Develop and maintain low-latency market data feed and order execution interfaces for futures and equities live trading
• Implement high-performance modules using C++ and Python
• Optimize system performance and efficient memory management
• Debug, test and stabilize live trading pipelines, ensure low latency and high availability for production deployment
• Collaborate with in-house trading team to iterate infrastructure functions according to live trading requirements

Requirements

• Bachelor or Master student in Computer Science, Software Engineering, EE, Math, Physics or related quantitative majors
• Solid coding ability in C++ / Python, familiar with data structures and algorithms
• Strong logical thinking, capable of independent debugging and problem analysis
• Responsible attitude, able to sustain stable internship and engage in production-level project iteration
• Prior experience in trading system, interface development or quantitative project is not required

Internship Highlights

• Real live trading participation: Directly develop and maintain production trading infrastructure, not only simulation projects
• In-depth exposure to low-latency systematic trading architecture, market data flow and order execution mechanism
• Full technical guidance from professional trading and development team
• Excellent interns will obtain formal employment opportunity and long-term development path

Working Period & Location

Full-time internship preferred, at least 3 months; On-site / Hybrid available according to arrangement