Quantitative Trading Systems Intern

mwinternshipprogram

Hong Kong

Presencial

HKD 201.000 - 268.000

A tiempo parcial

Hace 4 días
Sé de los primeros/as/es en solicitar esta vacante
Generador de candidaturas

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Descripción de la vacante

Marshall Wace in Hong Kong seeks a Quant Implementation Intern to gain hands-on exposure to the lifecycle of a systematic investment idea—from research and data analysis through portfolio construction and performance monitoring. You will work with a global collaborative team, contributing to production systems and learning how research ideas translate into live trading and risk-managed decisions.

This internship blends quantitative thinking with software engineering, offering mentoring and

Formación

  • Pursuing a master's or PhD in a quantitative subject such as computer science, mathematics, statistics, physics, or engineering.
  • 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.

Responsabilidades

  • Analyse market and portfolio data to understand signal behaviour, trading outcomes and strategy performance.
  • 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.

Conocimientos

Python
MATLAB
C++
Java
Statistics
Analytical thinking

Educación

Master's or PhD in quantitative field

Herramientas

Git
Linux

Descripción del empleo

Marshall Wace in Hong Kong seeks a Quant Implementation Intern to gain hands-on exposure to the lifecycle of a systematic investment idea—from research and data analysis through portfolio construction and performance monitoring. You will work with a global collaborative team, contributing to production systems and learning how research ideas translate into live trading and risk-managed decisions.

This internship blends quantitative thinking with software engineering, offering mentoring and

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