Graduate Quantitative Researcher

IMC Trading; Amsterdam; On-site; EUR 52,000 - 70,000; Full time

Job summary

IMC Trading seeks a Graduate Quantitative Researcher to join a six-week Global Trainee Programme, later transitioning to a full-time role in February or August 2027. You will work with seasoned researchers and traders, exploring strategies and building analysis tools to turn ideas into production, with strong mathematical foundations as the core requirement.

Our program emphasizes rigorous quantitative methods and practical impact on global markets, welcoming strong scholars who are eager to

Qualifications

• In your ultimate year of a MSc or PhD in mathematics, physics, astrophysics, or a related quantitative field, and are seeking to join IMC full-time in February or August 2027
• Experience in a programming language (e.g. Python, Matlab or C++)
• First-class quantitative and analytical skills, with excellent attention to detail
• A genuine interest in financial markets (no prior knowledge or experience is required)

Responsibilities

• Collaborate with traders to evaluate existing models and suggest improvements
• Build customised analysis tools to explore new research ideas
• Apply rigorous quantitative techniques to solve complex problems
• Design mathematical models based on innovative trading ideas Implement these new models and put them into production

Skills

Python

Matlab

C++

Quantitative analysis

Attention to detail

Interest in financial markets

Education

MSc/PhD in quantitative field

Job description

Your IMC journey as a Graduate Quantitative Researcher begins with a six-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you will deepen your knowledge about trading and financial markets, IMC’s trading strategies, and our proprietary trading systems. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced quant researcher at IMC. Following the programme, you will join a team of quantitative researchers, where you’ll play a key role in exploring and shaping strategies in global markets. You’ll receive recognition for your ideas and successes every step of the way.

Your Core Responsibilities

• Collaborate with traders to evaluate existing models and suggest improvements
• Build customised analysis tools to explore new research ideas
• Apply rigorous quantitative techniques to solve complex problems
• Design mathematical models based on innovative trading ideas Implement these new models and put them into production

Please note: If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in Summer 2027. We encourage you to focus on enhancing your skillset before reapplying.

Your Skills And Experience

• In your ultimate year of a MSc or PhD in mathematics, physics, astrophysics, or a related quantitative field, and are seeking to join IMC full-time in February or August 2027
• Experience in a programming language (e.g. Python, Matlab or C++)
• First-class quantitative and analytical skills, with excellent attention to detail
• A genuine interest in financial markets (no prior knowledge or experience is required)

Due to current U.S. immigration and visa restrictions, some candidates may not be eligible to obtain the U.S. business visa required as part of our Global Traineeship Programme. As the programme includes mandatory training in the United States shortly after joining, we are unfortunately unable to proceed with applications from candidates who are unable to obtain the required visa within the programme timeline. If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: [e-mail].

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.