Working Student - Tech

As a Tech Working Student at IMC, you’ll gain first-hand experience of what it’s like to work in a leading global trading firm while adding real value to our local team. This is your opportunity to develop analytical, technical, and business skills in a high-performance environment where innovation and collaboration go hand in hand.

You’ll take ownership of your own projects and work closely with some of the best minds in trading and quantitative research. Whether your interests lie in markets, data, or strategy, you’ll have the chance to explore your niche and make an impact.

Your Core Responsibilities

• Design and build high-performance technology that supports energy trading
• Work on the full software development lifecycle, from idea to deployment
• Develop real-time pricing and trading systems, exchange connectivity, and analytics tools
• Collaborate closely with traders, researchers, and other engineers
• Be part of a new local team in Aarhus and shape its growth and culture

What You’ll Bring

• Strong programming skills in C++ or Java
• Solid understanding of algorithms and data structures
• Excellent analytical and problem-solving skills
• A genuine interest in financial markets (no prior knowledge required)
• Full professional fluency in English
• Commitment to working a minimum of 20 hours per week
• You’re excited by the opportunity to shape a new business and build innovative systems from the ground up

For more information on our technology interview process, please review our preparation guide here.

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.