Quantitative Research Intern 2027
AI in this role
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.
How we rate this
Quantitative Research Intern 2027 at IMC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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