EU Campus - Aarhus Hackahton IMCity
Requirements at a glance
EU Campus - Aarhus Hackahton IMCity at IMC is a role based in Aarhus, Central Denmark Region, Denmark. It does not mention visa sponsorship. Key skills include Java and C++. Applications are submitted through Greenhouse.
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Greenhouse
Skills in this posting
- Java
- C++
- Machine learning
Highlighted skills appear in the posting's requirements.
From the employer
- Eligibility:
Currently enrolled student in Aarhus or Aalborg University, graduating in 2026 or 2027
Extracted automatically from the job description. Confirm details in the full posting below.
Join IMC for an exclusive hackathon on November 11th at our office, where 20 selected students will get hands-on experience trading Aarhus-style in a fast-paced, high-energy environment designed by traders and engineers who do this for a living.
This is your chance to see what it's really like to build software that powers financial markets — and to show us what you've got.
Who should apply
We're looking for students who love to code and are curious about applying that skill to the world of trading and financial markets. Whether you're aiming for a career as a software engineer or want to experience life at a top trading firm, this event is for you.
What you'll do
Tackle a trading-inspired coding challenge, guided by IMC engineers and traders, and compete for prizes — with the added bonus of a fast-tracked interview process for our 2027 Graduate Software Engineer or Working Student roles.
Requirements
- Currently enrolled student in Aarhus or Aalborg University, graduating in 2026 or 2027
- Proficiency in C++ or Java
- Genuine interest in coding and financial markets
Why join
- Solve a real trading-style engineering problem
- Meet IMC engineers and traders
- Win prizes
- Fast-track your interview process for our grad or working student program
*Timing of the event will be from 14:00-19:30
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.