Quant Implementation Intern: Build & Validate Trading Models

Marshall Wace Internship Programmes

Hong Kong

Hybrid

HKD 120,000 - 240,000

Full time

4 days ago
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Job summary

Marshall Wace invites top quantitative students to join a fast-paced Quant Implementation Internship. You will bridge quantitative research and live trading by turning ideas into robust production systems, while gaining exposure to portfolio construction, performance monitoring and risk management.

You will work during a collaborative, global internship with researchers, traders and experienced developers. The program focuses on hands-on problem solving, data analysis and scalable software,

Qualifications

  • Currently studying toward a master’s or PhD in a quantitative subject such as computer science, mathematics, statistics, physics, engineering or a related discipline.
  • Strong analytical and problem-solving skills, with an interest in applying them to financial markets.
  • Programming experience in Python, MATLAB, C++, Java or a similar language.
  • A solid foundation in probability, statistics, linear algebra or numerical methods.
  • Curiosity about systematic investing and a desire to understand why a strategy works—not only how to code it.
  • Clear communication skills and the ability to work collaboratively across research and technology teams.
  • Care, ownership and sound judgement when working with data and code.

Responsibilities

  • Analyse market and portfolio data to understand signal behaviour, trading outcomes and strategy performance.
  • Help validate new models and portfolio construction changes before they are introduced into live trading.
  • Investigate differences between research expectations and real-world results, considering data, market, risk and implementation effects.
  • Contribute clean, reliable code to systems that support live systematic strategies.

Skills

Python
MATLAB
C++
Java
Quantitative problem-solving
Data analysis
Analytical thinking
Communication

Education

Master’s or PhD in quantitative field

Tools

Python
MATLAB
C++
Java

Job description

Marshall Wace invites top quantitative students to join a fast-paced Quant Implementation Internship. You will bridge quantitative research and live trading by turning ideas into robust production systems, while gaining exposure to portfolio construction, performance monitoring and risk management.

You will work during a collaborative, global internship with researchers, traders and experienced developers. The program focuses on hands-on problem solving, data analysis and scalable software,

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