Quantitative Research Intern 2027

IMC Trading; Hong Kong; On-site; HKD 134,000 - 179,000; Full time

Job summary

IMC Trading, a leading quantitative trading firm, offers an intensive internship program in Hong Kong. You will learn trading concepts, theory, and machine learning while tackling meaningful research challenges designed to yield actionable insights from market data.

You’ll work with traders, researchers, and engineers in a fast-paced environment, presenting findings to diverse audiences and gaining hands-on experience with Python and quantitative research methodologies.

Qualifications

• Pursuing a highly quantitative degree (Bachelor/Master/PhD).
• Strong mathematical and statistical foundation required.
• Proficiency in programming and data analysis tools expected.

Responsibilities

• Participate in an intensive training program covering trading concepts, theory, statistics, and ML.
• Tackle research challenges: design predictive models, optimize strategies, or use alternative data.
• Explore large datasets, identify patterns, 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 skills

Communication skills

Education

Bachelor’s, Master’s or PhD in Mathematics

Statistics

Computer Science

Physics

Engineering

Tools

Python

MATLAB

R

C++

Java

Job description

IMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to trade a broad range of products globally. With a strong focus on innovation, we leverage quantitative models, high-performance computing, and a deep understanding of the markets to drive our trading decisions.

What You’ll Do

• Participate in an intensive training program covering trading concepts, theory, statistical modelling, and machine learning techniques.
• Tackle a meaningful research challenge — whether it’s designing new predictive models, optimising existing strategies, or leveraging alternative data to extract actionable insights.
• Explore large financial and market datasets, identify patterns, and develop quantitative models that contribute to our trading decisions.
• Work closely with traders, researchers, and engineers in a fast-paced, intellectually stimulating environment.
• Present your findings through reports and presentations, gaining exposure to both technical and non-technical audiences.

What You’ll Learn

• A deep understanding of finance, trading, market structure, data, and quantitative research methodologies.
• Hands-on experience with data science techniques and programming in Python.
• Exposure to real-time problem-solving in a quantitative trading environment.
• The ability to present research findings and work collaboratively with cross-disciplinary teams.

Your Skills And Experience

• Currently pursuing a bachelor’s, master’s, or PhD in a highly quantitative field, such as Mathematics, Statistics, Computer Science, Physics, Engineering, or a related discipline.
• Strong analytical and problem-solving skills, with a keen interest in applying mathematical and statistical techniques to real-world challenges.
• Proficient in programming, preferably in Python, or other relevant languages like C++, Java, MATLAB, or R.
• Curious and driven, with a passion for learning, adapting, and innovating in a fast-paced trading environment.
• Excellent communication skills, with the ability to distil complex concepts into clear, actionable insights.
• Must be able to start the internship in May/June 2027.

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.