# Quantitative Research Intern 2027 [IMC Trading](https://www.jorb.ai/firms/imc-trading.md) · Hong Kong · [Hedge Fund & Quant](https://www.jorb.ai/jobs/hedge-fund-quant.md) IMC Trading is hiring a Quantitative Research Intern 2027 in Hong Kong. Posted 2026-08-19; applications close 2026-10-18. **Apply**: https://job-boards.eu.greenhouse.io/imc/jobs/4941208101 Posted 5d ago. ## Role details ## Quantitative Research Intern 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 hands-on experience in quantitative research, supported by structured learning, real-world project work, and direct mentorship from senior IMC employees. ## 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—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 findings through reports and presentations 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. - In 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 such as 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 IMC 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 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 continuously innovate and collaborate to succeed. ## Applying to this role This Quantitative Research Intern 2027 role at IMC Trading runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications. 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