Quantitative Research Intern 2027
IMC · Not provided by source
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Source: the employer's Greenhouse job board. Open the original listing for current details. Availability is not verified for this retained page.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Hong Kong, Hong Kong
What the role asks for
What you'd 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.
- 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.
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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. 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. 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. • 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. About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.
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