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Salary
≈ $54k – $129k per year (Estimated)
Location
In office (Amsterdam)
Seniority
Junior · 2+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 5, 2026. IMC Trading scores B on the Alion truth index.

Overview
Company
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.

At IMC, technology is not a department; it's at the heart of everything we do. Developed in-house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

IMC's Amsterdam-based C++ Execution development teams work on software that sits directly in the latency-critical loop of our technology stack and touches every part of our organisation. We connect IMC to exchanges around the world, process massive volumes of market data in real time, execute complex trading algorithms, and integrate advanced hardware solutions where software alone isn't fast enough.

Your Core Responsibilities

As a software engineer, you'll work in multidisciplinary teams alongside other engineers, traders, researchers, and quants, both locally and across our global offices, taking ownership of end-to-end product development, from requirements gathering to production. You'll write reliable, high-performance software while balancing time to production with quality and testability. Advanced automated testing lets us deploy to production daily. Within a complex landscape of varying systems and technologies, you'll be constantly challenged to consider trade-offs between latency, throughput, simplicity, scalability and maintainability.

  • Building and maintaining the systems that connect IMC to exchanges: parsing market data feed, managing order entry, and keeping us fast and reliable on the path where latency counts.

  • Implementing and optimising execution logic in close collaboration with traders and quants, translating trading ideas into production code.

  • Working with our hardware teams to integrate FPGA-based systems and low-latency network solutions into our trading stack.

  • Measuring, profiling and improving the performance of our systems.

  • Developing expertise across the entire software development lifecycle, learning from experienced engineers along the way.

Your Skills and Experience

  • 2-3 years of full-time professional work experience post-graduation 

  • Bachelor’s or Master’s degree in Engineering, Computer Science or a related field

  • Strong knowledge of algorithms and data structures

  • Solid programming skills in modern C++ (C++17 or later)

  • An interest in how software actually runs on hardware: memory, caches, networking

  • A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment

  • Ability to solve problems creatively and proactively

  • Curiosity and a willingness to learn. Interest in financial markets; previous knowledge is not required.

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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