Quantitative Research Intern 2027

3 дн. назад

Hong KongWorldwideTrainee

machine learningstatistical modellingdata analysis

Internship in quantitative research focusing on trading strategies, statistical modelling, and machine learning in a global trading firm.

О компании

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.

Другое

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.
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 a unique opportunity to gain hands-on experience in quantitative research, supported by structured learning, real-world project work, and direct mentorship from senior IMC employees.
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.
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.
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.
Commenced your penultimate year of study.
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.