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Salary
≈ $143k – $286k per year (Estimated)
Location
In office (Zug)

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Jul 29, 2025. IMC Trading scores B on the Alion truth index.

Overview
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Impact
Profile match
IMC Trading is a proprietary trading firm and market maker headquartered in Amsterdam that trades its own capital, providing liquidity across more than 120 trading venues with in-house trading systems, low-latency infrastructure and machine learning models. Founded in 1989 by two traders on the floor of the Amsterdam equity options exchange, it now employs over 2,000 people of more than 70 nationalities in ten offices, including Chicago, New York, London, Zug, Sydney, Mumbai, Seoul and Hong Kong. It recruits quantitative researchers and traders, software, Python and systems engineers, machine learning researchers, and graduates and interns for its campus programmes.

IMC has a strong presence in traditional Finance and has been expanding into Crypto and DeFi over the last years. Through its overseas affiliates, IMC provides liquidity and tradeson many cryptocurrency exchanges and DeFi protocols.

As a C++ Software Engineer, you‘ll be joining and shaping the future of our core engineering team. You will design, code, test, and optimize our proprietary, low-latency trading system. The right candidate for this role will be comfortable working autonomously, making decisions, and working in a fast-paced, flat team structure.

Your Core Responsibilities:

  • Collaborate on developing our highly competitive, ultra-low-latency trading platform consisting of market data delivery and order submission subsystems
  • Design and implement state-of-the-art, industry-leading trade execution and connectivity solutions
  • You will be part of our algorithmic trading strategies team that is responsible for all automated trading algorithms so that your experience and knowledge will have direct impact on our production
  • Improve the system performance by optimizing network access, hardware utilization, and programming execution
  • Stay on top of updates to exchange protocols

Your Skills and Experience: 

  • You have a Master’s or Ph.D. degree in Computer Science, Mathematics, Physics or a related field
  • You have excellent programming skills using C++ in a Linux (or Unix-like) environment
  • You possess the ability and desire to write simple, well-structured and clean code that is easy to maintain
  • You have in-depth knowledge of low-level network and system programming and have ideally experience in developing low-latency systems
  • You have a solid grasp of computer science, algorithms, memory-, and concurrency models, CPU-architecture, operating systems, networks, and performance optimization
  • Experience in statistics, large-scale data processing systems, machine learning and/or grid-based computing is a big plus
  • No finance background is necessary or expected

Location and Office Culture

  • IMC office in Zug, Switzerland
  • Note that this is an onsite role, with some but limited flexibility for working from home
  • You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities
  • One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies
  • We give people lots of responsibility and the support they need to make an impact from day one
  • We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices

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.

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