2027 Quantitative Developer Intern, Hong Kong
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Location
Hong Kong
Job Title
2027 Quantitative Developer Intern, Hong Kong
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Quantitative Developers work at the intersection of technology, quantitative research, and trading, building the tools, infrastructure, and analytics that help bring models into production, strengthen decision-making, and support trading activity at speed and scale.
What You’ll Do
- Design and develop production systems for model deployment, serving, and monitoring at scale
- Build APIs and services that expose statistical models, risk calculations, and portfolio analytics to trading systems
- Productionize research models by optimizing performance, strengthening error handling, and ensuring numerical stability
- Develop high-performance infrastructure for real-time pricing, risk calculations, and portfolio optimization
- Build data pipelines and quantitative tools that support back-testing, statistical analysis, market simulation, and model inference
What You Bring
- Expected to graduate between December 2027 and July 2028.
- Cumulative GPA of 3.5 and above.
- Pursuing a Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field
- Strong programming skills in Python, C++, or Java, with a focus on writing production-quality code
- Solid understanding of data structures, algorithms, and system design principles
- Knowledge of probability, statistics, and numerical computing methods
- Availability to commit fully to the internship for the full program duration.