Quant Trading Systems Intern

Events; Hong Kong; Sur place; HKD 60 000 - 100 000; Plein temps

Résumé du poste

Marshall Wace in Hong Kong invites a Quant Implementation Intern to join the global team building systems linking research to live trading. You’ll work on alpha algorithms, portfolio construction, and production systems with a focus on reliability and performance.

You will gain exposure to systematic investing, collaborate with researchers, traders and developers, and learn how research becomes investable signals and executable trades through hands-on projects and mentoring.

Qualifications

• Master’s or PhD in a quantitative field (e.g., CS, math, stats, physics, engineering).
• Strong analytical and problem-solving skills with an interest in applying them to financial markets.
• Programming experience in Python, MATLAB, C++, Java or similar language.

Responsabilités

• 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.

Connaissances

Python

MATLAB

C++

Java

Formation

Master’s or PhD in quantitative field

Description du poste

Marshall Wace in Hong Kong invites a Quant Implementation Intern to join the global team building systems linking research to live trading. You’ll work on alpha algorithms, portfolio construction, and production systems with a focus on reliability and performance.

You will gain exposure to systematic investing, collaborate with researchers, traders and developers, and learn how research becomes investable signals and executable trades through hands-on projects and mentoring.