Quantitative Research Intern 2026/27
Quick Summary
Participate in an intensive training program covering trading concepts, options theory, statistical modelling, and machine learning techniques.
We’re a high-performance trading firm powered by technology, for those who want to be the best among the best.
About the Role
~1 min readIMC is a leading global trading firm that combines technology, advanced quantitative research, and cutting-edge machine learning techniques to make markets more efficient. With a strong focus on innovation, we leverage mathematical models and high-performance computing to drive our trading decisions.
As a Quant 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.
Responsibilities
~1 min read- →Participate in an intensive training program covering trading concepts, options 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 trading, market structure, and quantitative research methodologies.
- Hands-on experience with data science techniques and programming in Python.
- Exposure to real-time problem-solving in a high-frequency trading environment.
- The ability to present research findings and work collaboratively with cross-disciplinary teams.
Requirements
~1 min read- Currently pursuing a bachelor’s or master’s degree 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 distill complex concepts into clear, actionable insights.
IMC offers an open, collaborative and low-hierarchy environment where our people are empowered to make an impact from day one. We invest heavily in learning and development to help our people grow quickly, with collaboration at the core of how we work. We also give back, donating 2% of annual profits to our Charitable Foundations and supporting employee-led volunteering initiatives.
Our values guide how we work: Dare to continuously innovate. Collaborate to succeed. Champion the best ideas. Take responsibility. Keep both feet on the ground. Build for our future.
We also offer a competitive salary package and a range of perks and benefits to ensure you are set up for success.
What We Offer
~1 min read
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.
Location & Eligibility
Listing Details
- Posted
- March 12, 2026
- First seen
- April 11, 2026
- Last seen
- May 5, 2026
Posting Health
- Days active
- 23
- Repost count
- 0
- Trust Level
- 16%
- Scored at
- May 5, 2026
Signal breakdown
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