Quantitative Research Intern: Trading ML & Models

Greenhouse Software, Inc.; Hong Kong; On-site; HKD 112,000 - 179,000; Full time

Job summary

IMC is a leading global trading firm that combines technology, quantitative research, and machine learning to trade a broad range of products worldwide. As a Quantitative Research Intern, you’ll work at the intersection of data science, financial markets, and algorithmic trading, solving real-world challenges that drive our trading strategies.

This internship program offers structured learning, hands-on project work, and direct mentorship from senior IMC staff.

Qualifications

• Pursuing a bachelor’s, master’s, or PhD in a highly quantitative field.
• Commencing penultimate year of study.
• Strong analytical and problem‑solving skills with interest in applying math and statistics.

Responsibilities

• Participate in an intensive training program covering trading concepts, theory, and ML techniques.
• Tackle a meaningful research challenge and design predictive models or optimize strategies.
• Explore large financial datasets and develop quantitative models for trading decisions.
• Collaborate with traders, researchers, and engineers in a fast-paced environment.
• Present findings through reports and presentations to technical and non-technical audiences.

Skills

Analytical thinking

Programming in Python

Problem solving

Strong communication

Education

Bachelor’s/Master’s/PhD in quantitative field

Penultimate year of study

Tools

Python

C++

MATLAB

R

Job description

IMC is a leading global trading firm that combines technology, quantitative research, and machine learning to trade a broad range of products worldwide. As a Quantitative Research Intern, you’ll work at the intersection of data science, financial markets, and algorithmic trading, solving real-world challenges that drive our trading strategies.

This internship program offers structured learning, hands-on project work, and direct mentorship from senior IMC staff.