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Our summer internship programme in Amsterdam is your chance to experience life as an engineer at IMC. As a Software Engineer Intern, you will go beyond writing code and designing technology: you’ll gain insight into algorithm complexity and data structures, get to know IMC’s unique business model, and build valuable connections with our trading and technology teams. Throughout the summer, you will work on a relevant project while receiving comprehensive support from dedicated internship trainers, and a one-on-one mentor to guide you in your work and professional development. You will benefit from a highly competitive compensation package, fully-furnished corporate accommodation, catered meals, and experience IMC’s collaborative culture as if you’re already a full-time employee. Where you go from here is up to you! YOUR CORE RESPONSIBILITIES Enhance your knowledge of algorithm complexity, data structures, and writing fluent code Support the development of our trading platform and software stack Gain experience across the entire software development lifecycle at IMC especially by collaborating with traders, researchers and hardware engineers Be an integral part of your team by helping to identify, implement and validate changes to IMC’s trading algorithm and system Enhance your coding skills by participating in individual and collaborative, competitive hackathons and technology challenges Attend workshops, presentations, trainings, and social activities alongside the full internship cohort YOUR SKILLS AND EXPERIENCES In your penultimate year of study in computer science, software engineering, or a related field graduating in 2028 Proficient experience in a programming language (Java or C++ preferred) You thrive working in an environment where creativity, teamwork, and innovation are recognised and rewarded You want to make an impact on meaningful and challenging projects Outstanding analytical skills and a desire to solve complicated problems programmatically Genuine interest in financial markets (no prior knowledge or experience is required) Must be able to start the internship on June 28, 2027 Please note: If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in Summer 2027. We encourage you to focus on enhancing your skillset before reapplying. To be able to take part in IMC’s internship programme, you will need to obtain the required visa and/or permit to enter, stay and work in the Netherlands. Depending on your nationality and country of residence, obtaining the required entry visa may be subject to additional requirements, processing delays or other limitations. Please note that if you need a Schengen visa and are unable to obtain it before the start of the internship, you will be unable to take part in IMC’s internship programme. We greatly appreciate your understanding and hope to consider you for future opportunities. If you have any questions regarding the above, please reach out via: CampusEU@imc.com . 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.

At IMC, Software Engineers don’t just write code and design technology. They are responsible for spotting new opportunities, developing new technologies, and solving problems. Every day, our software makes millions of trading decisions in some of the most competitive markets across the globe, and we win by making smarter and faster decisions than our competition. Our Software Engineers deliver results and make a difference. As a Software Engineer Intern at IMC, you will be supported by a mentor who will oversee your projects and professional development, while having access to pair programming and code reviews. During your internship, you will work on a real project, providing value to developers and traders. This year in Hong Kong, you will join our Software Engineering – Strategy team . This team builds and supports the systems that drive our trading strategies — developing and implementing the logic that calculates pricing and risk, and building the tools and infrastructure for analysing, modelling, and trading financial products. You will be working in Java and Python , collaborating closely with engineers and traders on problems that matter to the business. If your strongest language is C++, that’s not a barrier: as long as you’re a strong engineer who is comfortable working in Java or Python, we’d encourage you to apply. WHAT YOU’LL DO: During the internship, you will work on solving real-world projects, write complex algorithms, and apply strong design practices and principles, with opportunities to learn from our strongest engineers and traders. Work collaboratively in an environment where creativity, teamwork, and innovation are recognised and rewarded. Our flat structure fosters a culture of openness and collaboration, encouraging the sharing of ideas and knowledge. Enhance your knowledge of high-frequency trading. Build key relationships across our trading and technology teams. YOUR SKILLS AND EXPERIENCE: An academic background in Computer Science, Software Engineering, or Engineering, with a minimum Distinction average required; High Distinction preferred. Have commenced your penultimate year of study. Strong analytical skills and a passion for solving complicated problems programmatically. Proficient in a programming language such as Java, Python, or C++. You should be comfortable working in Java or Python during the internship. Demonstrated high impact across experiences, including scholarships, competitions, and internships. Must be able to start the internship in May/June 2027. 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.

Our 10-week internship is your chance to experience life as a Software Engineer at IMC. You’ll have the support you need to succeed: educational trainings and a mentor who will oversee your work and professional development. We provide a highly competitive compensation package with accommodations included. The bar for talent at IMC is high and interns who meet our performance expectations will have the opportunity to secure a graduate position at the end of the program. Where you go from here is up to you! Your Core Responsibilities: Work on meaningful and challenging projects that have the potential to impact our business Participate in classroom-based training covering an overview of financial markets, IMC technology and coding fundamentals Build valuable connections with traders and technologists in an environment that rewards problem solving, innovation and teamwork Engage in professional development sessions aimed at helping you envision your future at IMC Attend a full schedule of events and social activities throughout the summer to get to know your cohort and IMCers Your Skills and Experience: Current university student graduating between September 2027 - July 2028 that is pursuing a Computer Science, Engineering, or a related technology degree Strong knowledge of algorithms and data structures is required Must have proficient experience in a programming language (Java or C++ preferred) Strong analytical skills and interest in solving complex problems programmatically Desire to collaborate with technical and non-technical teammates in a dynamic environment Interest in the Financial Markets; previous knowledge is NOT required Must be able to start internship on June 7, 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027. The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Base Salary: $200,000 #LI-DNP 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.

The Machine Learning Frameworks team exists for two reasons: making the research iteration loop as fast and frictionless as possible, and making production run as fast as the hardware allows. Both matter, and figuring out how to do both at once is most of what makes the work fun. Concretely, we build optimisers, code generators, runtime libraries, and the orchestration layer that runs computation across heterogeneous hardware. The stack spans C++, Rust, Python, MLIR, and CUDA. You don't need to know all of these things but should want to work at this level of the stack. The work is broad. Some of it is high-level, looking at the whole compute pipeline, orchestrating the system and creating a cohesive product. Some of it is in the details, getting into hardware behaviour, dissecting compute graphs, squeezing the last bit of performance out of the hot path. Our job is managing the whole stack, top to bottom. About you You write production code in a systems language. C++ or Rust, or something close enough that picking them up isn't the hard part. The right tool matters more to you than your favourite one You like understanding what a language compiles down to and how it runs on hardware. You're comfortable being handed an unfamiliar part of the stack and working it out. You like working with stakeholders and you’re good at figuring out what someone actually needs, not just what they asked for You've done this commercially. You've owned something in production that other people relied on. Not necessarily big, but something you had to maintain, debug and live with long after you shipped it. What you don't need A finance background. Exposure to every language we touch. We hire engineers who like to solve the problems our traders face - we'll teach you the context on the ground 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.

The Research Engineering team develops and deploys the pipelines connecting a research idea all the way to its rollout in production. We exist to ensure that the entire pipeline describing our research is efficient, effective, and scalable. People in our team are avid collaborators and work in tight feedback loops with our researchers. We talk through problems on desk, prepare solutions same day, and work out how to deploy safely for tomorrow. The scope of the team covers anything that accelerates the path from research to production at massive scale. This could be designing our external data ingestion pipelines, writing our feature discovery and storage systems, building our model validators and experiment trackers, authoring and deploying a bespoke algorithm, or figuring out how to roll out something novel. We use a broad toolkit including Python, C++ and internal domain-specific languages, and are happy to pick up new tools and languages as required. About you You write production code in both Python and C++. You reach for the second one when it matters, and you know when it does. You're naturally curious about how other teams' systems work, not just your own, and you often end up being the person who spots where things won't fit together before it becomes a problem. You enjoy working on many projects at once, seeing connections and opportunities between them which others miss. You’re motivated to solve issues with whatever tool is best, rather than a preference towards deep specialisation in one area. You like working with research stakeholders across the business and you're good at figuring out what someone actually needs, not just what they asked for. You've done this commercially. You've owned something in production that other people relied on. Not necessarily big, but something you had to maintain, debug and live with long after you shipped it What you don’t need A finance background. Every language we touch. A particular set of years in any particular role. We hire engineers who like to solve the problems our traders face - we'll teach you the context on the ground. 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.

The Research Engineering team develops and deploys the pipelines connecting a research idea all the way to its rollout in production. We exist to ensure that the entire pipeline describing our research is efficient, effective, and scalable. People in our team are avid collaborators and work in tight feedback loops with our researchers. We talk through problems on desk, prepare solutions same day, and work out how to deploy safely for tomorrow. The scope of the team covers anything that accelerates the path from research to production at massive scale. This could be designing our external data ingestion pipelines, writing our feature discovery and storage systems, building our model validators and experiment trackers, authoring and deploying a bespoke algorithm, or figuring out how to roll out something novel. We use a broad toolkit including Python, C++ and internal domain-specific languages, and are happy to pick up new tools and languages as required. About you You write production code in both Python and C++. You reach for the second one when it matters, and you know when it does. You're naturally curious about how other teams' systems work, not just your own, and you often end up being the person who spots where things won't fit together before it becomes a problem. You enjoy working on many projects at once, seeing connections and opportunities between them which others miss. You’re motivated to solve issues with whatever tool is best, rather than a preference towards deep specialisation in one area. You like working with research stakeholders across the business and you're good at figuring out what someone actually needs, not just what they asked for. You've done this commercially. You've owned something in production that other people relied on. Not necessarily big, but something you had to maintain, debug and live with long after you shipped it What you don’t need A finance background. Every language we touch. We hire engineers who like to solve the problems our traders face - we'll teach you the context on the ground. 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.

We are seeking a Software Engineer to help build the technology and analytical frameworks used to understand, measure, and optimize risk across the firm's trading businesses. Working directly with Risk Managers and software engineers globally, you will develop systems that help the firm analyze exposures, scenarios, capital, liquidity, and other risk factors across all asset classes. You will have significant autonomy to improve existing platforms, build new tools, and pursue opportunities that make the risk organization more effective. This role is ideal for someone who enjoys combining software engineering, data science, and financial markets to solve complex, high-impact problems. Your Core Responsibilities: Design and build analytical tools that help Risk Managers understand portfolio exposures, stress scenarios, capital usage, and emerging risks Build high-end dashboards and visualization tools for stakeholders globally. Work with large data sets, data pipelines that support storage, retrieval, and analysis across the risk organization. Partner directly with Risk Managers to identify opportunities and rapidly translate ideas into production systems while collaborating within the firm's global risk development organization. Collaborate with engineering, trading, quantitative research, operations, and data teams across the firm Take ownership of projects from concept through production deployment Your Skills and Experience: 3–5+ years of professional software engineering experience Strong development skills in Java and/or Python Experience building and supporting production systems Interest in financial markets, risk management, data science, and quantitative analysis Strong analytical and problem-solving skills Self-starter with a high degree of ownership and initiative Distributed systems and service-oriented architectures Kubernetes and containerized applications React and modern web development PostgreSQL, ClickHouse, and analytical databases Parquet, Hadoop, and large-scale data platforms Data pipelines, ETL frameworks, and APIs The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $175,000 — $225,000 USD 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.

The Live Trading, Analysis & Tooling engineering team exists to make sure our traders and researchers have all the tools they need to run and analyse their trading at scale. We tackle both ends of scaling - we help traders maximise how many strategies they can trade, and help them analyse specific moments to find new opportunities. Our team sits close to the people who use what we build, with short iteration loops, fast feedback, and a lot of conversation. The work is broad. We build tools that help traders orchestrate strategies across our full product range. We build infrastructure that makes large amounts of data quickly explorable. We model risk, analyse trades, and figure out where new opportunities might be. Our toolkit is just as broad. Python, Java, React, SQL, any tool that solves the issue at hand. About you You're energised by problems where the brief doesn't exist yet. Working out what to build is as much the job as building it You can move between languages without it slowing you down. The right tool matters more to you than your favourite one You like working with stakeholders across the business and you're good at figuring out what someone actually needs, not just what they asked for You can pivot. You enjoy trying out new ideas quickly and scaling them once they’ve proven value - or throwing them out if they didn’t work What you don't need A finance background. Experience in any particular language. A specific set of years in any particular role. We hire engineers who like to solve the problems our traders face - we'll teach you the context on the ground. 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.