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Salary
≈ $130k – $278k per year (Estimated)
Location
In office (Zug)

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Jul 24, 2024. IMC Trading scores B on the Alion truth index.

Overview
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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 trades on many cryptocurrency exchanges and DeFi protocols. IMC Zug is currently looking to expand its DeFi team, which builds the algorithms that support IMC's trading activities

The DeFi team is small and highly flexible. We need the flexibility to respond to the rapidly changing DeFi landscape. As a member of the DeFi team, you will get the opportunity to work on many different projects and shape your role to your talents. Your work will vary from improving existing trading strategies and algorithms to working on completely new solutions from scratch. All, while closely collaborating with team members.

Your Core Responsibilities: 

  • Collaborate on developing our highly competitive trading algorithm and platform
  • Design and implement state-of-the-art, industry-leading trade execution and connectivity solutions
  • Research and analysis of Defi protocols using on chain data and trading strategies
  • Stay on top of updates to Defi protocols

Your Skills and Experience: 

  • Hard skill requirements:
    • Proficiency in applied mathematics, statistics, numerical modeling
    • Knowledge of cryptocurrency
    • Proficiency in one more blockchain-related programming languages such as golang, rust, solidity, move etc.
    • Comfortable in a Linux R&D environment, incl. git and related tools
    • Ability to research independently
    • Proficiency in English
  • Nice to haves
    • Experience in blockchain analytics, DeFi protocols, MEV
    • In-depth knowledge of concrete blockchains on conceptual and/or programming level
    • Hands-on programming experience in a quantitative trading environment
    • Deep understanding of the EVM, and/or the technical underpinnings of other blockchain ecosystems
    • Smart contract design and development
    • Experience with cryptography libraries, digital signature, hash algorithms

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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