Quantitative Research Intern: ML-Driven Market Modeling

IMC; Hong Kong; On-site; HKD 89,000 - 179,000; Part time

Job summary

IMC is a leading global trading firm that blends technology, quantitative research, and machine learning to trade a broad range of products worldwide. This internship offers hands-on experience at the intersection of data science and algorithmic trading.

You'll train in trading concepts, develop predictive models, and work with traders, researchers, and engineers. The program provides mentorship, real-world project work, and opportunities to present insights to diverse audiences.

Qualifications

• Pursuing a bachelor's, master's, or PhD in a highly quantitative field.
• Penultimate year of study.
• Strong analytical and problem-solving skills.
• Proficient in programming, preferably Python, or other languages like C++, Java, MATLAB, or R.
• Excellent communication and ability to present insights clearly.
• Available to start internship in May/June 2027.

Responsibilities

• Participate in an intensive training program covering trading concepts, theory, statistical modelling, and machine learning techniques.
• Tackle a meaningful research challenge - designing new predictive models or optimising strategies.
• Explore large financial datasets, identify patterns, 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

Python

C++

Java

MATLAB

R

Analytical thinking

Communication

Education

Bachelor/Master/PhD in quantitative field

Tools

Python

C++

Java

MATLAB

R

Job description

IMC is a leading global trading firm that blends technology, quantitative research, and machine learning to trade a broad range of products worldwide. This internship offers hands-on experience at the intersection of data science and algorithmic trading.

You'll train in trading concepts, develop predictive models, and work with traders, researchers, and engineers. The program provides mentorship, real-world project work, and opportunities to present insights to diverse audiences.