Quantitative Dev Intern: Build Real-Time Trading Tools

Millennium

Hong Kong

On-site

HKD 134,000 - 268,000

Full time

45 hours ago
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Job summary

Millennium in Hong Kong is offering a Quantitative Developer internship designed for students graduating December 2027 to July 2028. You will build production systems, APIs, and data pipelines for model deployment and trading analytics as part of a fast-paced team. Strong Python/C++/Java skills and a solid foundation in algorithms are essential.

You will work closely with researchers and engineers to productionize research models and support real-time pricing and risk calculations.

Qualifications

  • Pursuing a Bachelor’s or Master’s degree in a quantitative field.
  • Strong programming skills in Python, C++, or Java.
  • Solid understanding of data structures, algorithms, and system design.
  • Knowledge of probability, statistics, and numerical computing.
  • Availability to commit fully to the internship for the full program duration.

Responsibilities

  • 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

Skills

Python
C++
Java
Production code

Education

Bachelor’s/Master’s degree in CS/Math/Engineering

Job description

Millennium in Hong Kong is offering a Quantitative Developer internship designed for students graduating December 2027 to July 2028. You will build production systems, APIs, and data pipelines for model deployment and trading analytics as part of a fast-paced team. Strong Python/C++/Java skills and a solid foundation in algorithms are essential.

You will work closely with researchers and engineers to productionize research models and support real-time pricing and risk calculations.

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