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 Sydney based Engineering teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualization tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge. We are currently looking to expand our software engineering teams across our Strategy, Research tooling and Backbone teams.

The Strategy Developers work alongside our Sydney-based options research and trading teams in designing and implementing systematic trading strategies. You will be responsible for engineering efforts in a Python-based ecosystem that empowers our researchers and traders to develop strategies from initial prototypes to production. In this role, you will also be involved in the tactical development of front-office trading, analysis, and visualization tools.

The Backbone Developers create scalable business critical applications and tools to automate tasks supporting IMC’s Sydney Mid-Office and Risk Management departments. They gather requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions via innovative coding practices.

The Research Tooling Developers collaborates closely with APAC Quant Research and other engineering teams to build and enhance tools that drive cutting-edge quantitative research. Our systems empower researchers to run large-scale computations on distributed clusters, enabling the exploration of new trading strategies, model training, and back testing.

Your Core Responsibilities: 

• Develop, test, deploy, and maintain high-performance Python applications.
• Work closely with traders, researchers, quants, and fellow engineers to build scalable and reliable software solutions.
• Take ownership of end-to-end development, from requirements gathering to production deployment.
• Implement automation and optimization projects to enhance trading and research workflows.
• Apply advanced automated testing practices and leverage daily deployments to achieve agile and incremental benefits.
• Balance trade-offs between latency, throughput, simplicity, scalability, and maintainability in a complex technology landscape.

Your Skills and Experience: 

• 5+ years of professional software engineering experience, with a strong focus on Python.
• Experience working with numerical computing and data processing frameworks such as Pandas, NumPy, SciPy, Celery, Dask, or Spark.
• Strong problem-solving skills and the ability to proactively tackle technical challenges.
• Experience with automated testing and CI/CD pipelines.
• Familiarity with Docker, Kubernetes, and Linux environments.
• Exposure to distributed computing and modern cloud-based data processing technologies.
• Strong communication skills and the ability to work with cross-functional teams including traders, researchers, and other engineers.
• Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential.

#LI-DNI

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 Sydney-based Java teams work on a wide variety of applications, tools and functionalities, including trading algorithm implementations, option pricing, calculating volatility, simulation frameworks, market risk applications, trade reconciliation applications and data analysis & visualisation tools for traders. We frequently need to develop not just the business applications themselves, but also the tools that keep our development process at the cutting edge.

This role sits within our Data Engineering team. The team builds highly-scalable, high-throughput, low-latency Java applications that move and transform data from thousands of sources at Petabyte scale powering everything from real-time trading to analytics.You’ll work on a mix of greenfield and re-engineering projects, collaborating with developers globally to build scalable, reliable data platforms. Balancing speed with quality, you’ll write robust, testable software and make thoughtful trade-offs between latency, throughput, simplicity and maintainability.

Your core responsibilities include:

• Design, build, test and deploy high-performance Java systems for real-time and batch data processing.
• Develop tools and services around Kafka, Avro, Parquet and related streaming technologies.
• Contribute to internal frameworks for querying, storage, and data transformation — used globally across IMC.
• Partner with traders, researchers, and engineers to define requirements and deliver scalable data solutions.
• Own projects end-to-end, from requirements and architecture through to production deployment and monitoring.
• Continuously assess and introduce emerging technologies to improve performance, maintainability, and developer productivity..

Your Skills and Experience:

• 5+ years of experience as a Software Engineer with Java
• Experience in the latest versions of Java is highly desirable
• Proven experience building scalable, low-latency, high-throughput applications.
• Familiarity with Kafka, Avro, Parquet and other data-oriented technologies is highly desirable.
• Experience with Docker and Kubernetes, and confidence working in Linux environments.
• Strong analytical and troubleshooting skills, with the ability to solve complex technical challenges independently.
• Experience gathering business requirements and translating them into technical solutions.
• Curious, adaptable, and proactive; comfortable working in a fast-paced environment with minimal supervision.

Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it.

#LI-DNI

C++ Software Engineer 

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. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities:

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for 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 and daily deployments will allow you to achieve agile and incremental benefits. 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.

• Coding, developing, testing, deploying and maintaining applications and automations for Trading Teams and/or Hardware Development and Execution Teams.
• Working through internal client requests. Gathering details, requirements and feedback from a range of internal stakeholders in order to implement creative automation solutions using innovative coding practices.

Your Skills and Experience:

• Minimum 5+ years professional working experience as a software engineer post graduation
• Strong programming skills in C++. Experience in the latest versions of C++ is highly desirable
• Familiarity with Python scripting
• Familiarity with Docker and Kubernetes
• Comfortable in Linux environments
• Experience gathering business requirements, communicating with key stakeholders and delivering solutions quickly
• The ability to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Strong troubleshooting and diagnostic skills; ability to solve problems creatively and proactively
• Prior knowledge of trading / capital markets is not required. Curiosity and a willingness to learn is.

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. Our various Python Development teams create scalable business-critical applications, tools and automated tasks to equip IMC’s Amsterdam, London, Zug and Mumbai trading and business support teams.

Your Core Responsibilities

IMC uses a wide variety of technologies. Python is widely used across our tech stack, notably to make it more accessible to our traders, researchers and analysts. As a Python Software Engineer at IMC Amsterdam, you will take part in the development of high-performance trading systems, analytical tools, signals generation, backtesting frameworks, trade management UIs or regulatory surveillance & risk monitoring. Therefore your role will involve collaborating directly and closely with the business and other tech teams, from initially gathering requirements to short iteration cycles to refine the implementation, to integrate user feedback, to voice and implement your improvements and ideas.

All the software you’ll be building is for internal use only, there are no external clients/users and therefore no non-sense requests: the users of your work sit a few meters from you and you have control over the whole development cycle. Curiosity and interest into the trading and financial markets is a key success factor in this role, as you will be working directly on the business logic, in an environment where understanding the business context is primordial.

At IMC we believe in giving a lot of responsibilities quickly, you’ll be working on your goals with a high degree of independence, yet supported by a solid network of mentors, teammates and trading team highly motivated to make sure you are successful and share their passion for trading and technology. In this role, you might end up working on are a wide range of tasks - for example:

• Adding a new signal a trader came up with to our framework.
• Supporting a trading desk in building the data analytics and visualisation tools they need.
• Troubleshooting, debugging or deep diving into performance analysis.
• Teaching others how to use our tech in their own scripts.
• Building and distributing internal python libraries.
• Starting whole new full-stack projects from scratch.

Your Skills and Experience

• We care about 4+ years of working experience as a Software Engineer.
• Deep technical knowledge of Python, you understand its internal workings and know its strength and limitation. We use a range of Python libraries and frameworks (such as FastAPI (AsyncIO), APScheduler, Pandas, Polars, RQ, Pytest, Tensorflow, scipy, xgboost, scikit-learn, numpy, numba, celery).
• Experience with DevOps, databases, big data or frontend frameworks is a plus. (Some examples of tools we frequently work with: Kubernetes, Helm, Docker, Gitlab CI, TypeScript, React, Redis, PostgreSQL, Mongo, Dremio, Apache Iceberg, HDFS, Kafka, Apache Arrow/Parquet).
• A critical mindset and the ability to challenge ideas and solutions, to not take things for granted, validate assumptions and dig into the details to find and cover all corner cases. You’re not afraid to ask questions and to speak up.
• Experience working with financial data is a must, ideally in the financial services industry. The nature of this role requires both affinity and experience to this type of data.

Our tech stack includes an ever-evolving range of systems and technologies, and our engineers have the freedom to choose the best solution for the problem at hand. If a new technology has the potential to add value, we’ll actively invest in exploring, adopting and developing it. 

ABOUT THE ROLE:

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. Your assigned project will be one of the below areas.

Low Latency
Dedicated to the development and execution of ultra-fast systems that underpin IMC’s trading infrastructure, you will be building and maintaining systems with minimal latency to support high-frequency trading. You will be largely working on C++ and interact with Hardware, performance and network engineers.

Algorithmic
Centred on creating and supporting systems that drive our trading strategies, you can expect to be working on developing and implementing algorithms that calculate pricing and risks. Or supporting the development of tools and infrastructure for analysing, modelling and trading financial products. In this area, you will be working on Java or Python.

WHAT YOU’LL DO:

• During the internship, you will be work on solving real-world projects, write complex algorithm and 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 the right to work in Australia or New Zealand.
• Have commenced your penultimate year of study.
• Strong analytical skills and passion to solve complicated problems programmatically.
• Proficient in a programming language (C++, Java or Python required).
• Demonstrated high impact across experiences, including scholarships, competitions and internships.
• Must be able to start the internship in November 2026.

LIFE AT IMC:

Culture & Values

IMC offers an open, collaborative and low-hierarchy environment where our people are empowered to make an impact from day one. We invest heavily in learning and development to help our people grow quickly, with collaboration at the core of how we work. We also give back, donating 2% of annual profits to our Charitable Foundations and supporting employee-led volunteering initiatives.

Our values guide how we work: Dare to continuously innovate. Collaborate to succeed. Champion the best ideas. Take responsibility. Keep both feet on the ground. Build for our future.

We also offer a competitive salary package and a range of perks and benefits to ensure you are set up for success.

Perks & Benefits

• Work from our spectacular new Sydney office in Circular Quay with sweeping harbour views that was recently named “World Building of the Year 2022”.
• 6-week traineeship for graduates in one of our global offices, with opportunities to travel and work overseas in one of our 9 offices across APAC, India, US, UK and Europe.
• In-house chef with daily breakfast, lunch and dinner provided, as well as an in-house barista for free coffee all day!
• Social events including Friday night drinks, annual weekend away, social clubs, and regular team events.
• Opportunities to give back with in-house charity days, paid volunteering leave and dollar-matched charity donations.
• Wellbeing allowance and complimentary workout sessions including Barry's bootcamp, Pilates and boxing.

Think you have what it takes? We’d love to hear from you. Apply now.

We are looking for a data-focused engineer with a strong operational focus to support the Performance Team’s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.

The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.

What you’ll do:

• Own the operational health of the Performance Team’s data platform
• Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
• Design and maintain data quality checks, reports, and alerting specific to performance data
• Investigate and resolve data issues and pipeline failures, driving problems to root cause
• Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
• Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
• Build and maintain operational tooling, automation, and runbooks
• Continuously tune data pipelines and workloads to improve performance and resource efficiency

What you bring:

• 3+ years of experience in software engineering or data engineering with an operational or production focus
• A Bachelor’s Degree in Computer Science or a related field is strongly preferred
• Proficiency in Python, with hands-on experience using PySpark and Pandas
• Experience supporting production ETL or data processing systems
• Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
• Strong analytical skills and attention to detail
• Comfortable taking ownership in a performance- and reliability-critical environment

Nice to Have

• Experience working with performance-critical or high-throughput systems
• Exposure to workload scheduling, resource management, or cluster-based compute

What Success Looks Like

• Performance data pipelines are reliable, observable, and trusted
• Issues are detected early and resolved quickly with clear root-cause ownership
• Workloads are well-balanced and systems run efficiently

We are deploying machine learning directly onto custom hardware – and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect solutions from scratch, influence technical research direction, and see your work drive real impact in one of the most demanding computing environments in the world.

We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can fix it - there's no vendor to wait on and no abstraction layer you're not allowed to touch. If you've ever wanted to push the boundaries of what's computationally possible, this role is for you. We're looking for researchers and experienced engineers from any background. Trading experience is a bonus, not a prerequisite.

Your Core Responsibilities

• Architect and co-design ML models with traders, quant researchers, and software engineers, treating hardware constraints (latency budgets, resource limits, numerical precision) as first-class design inputs
• Shape our custom hardware roadmap by translating ML model requirements into concrete architectural decisions
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems

Your Skills and Experience

• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python, C++, or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

Nice to Have

• Exposure to ML compiler infrastructure such as MLIR, TVM, XLA, or similar tools for lowering and optimizing models for hardware targets
• Background in latency-sensitive or resource-constrained systems including high-frequency trading, particle physics data acquisition, real-time signal processing, or similar domains
• Familiarity with functional verification methodologies (for example SystemVerilog, UVM, Cocotb)
• Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through industry or research experience

IMC is looking for a Quantitative Developer to own the full path from research to production. This role blends research and engineering, with tight feedback loops from ideation to live trading. You will build the systems that turn quantitative insights into measurable edge, with direct visibility into how your work creates impact.

Your Core Responsibilities

• Build and maintain systems that span research and production, enabling rapid iteration from idea to production
• Design high-fidelity simulation and backtesting infrastructure that models latency, microstructure, and real-world constraints
• Define, compute, and curate features across instruments, regimes, and time horizons
• Own feature and signal pipelines, ensuring clean, consistent delivery from research to execution
• Contribute to strategy optimization, balancing expected performance with real-world constraints
• Debug issues end-to-end across research and execution

Your Skills and Experience

• 3-7 years of experience in quantitative software development, preferably at a trading firm or systematic fund
• Strong production experience in Python and C++, including data analysis workflows (pandas, polars, or similar)
• Strong grounding in probability, statistics, and time series analysis; familiarity with backtesting and simulation frameworks
• Solid understanding of ML concepts as applied to systematic strategies, from research through production
• Experience with low-latency systems is valuable
• Ability to work fluidly across research and engineering teams

We are deploying machine learning directly onto custom hardware – and we want you to help drive it forward. This PhD internship is an opportunity to work on research that has direct impact on IMC's work tackling open problems at the frontier of low-latency ML inference and hardware acceleration.

You'll work alongside IMC engineers in one of the most demanding low-latency computing environments in the world. You'll own a focused research project from start to finish, present your findings to the team, and leave behind a prototype or benchmark that we can build on.

Your Core Responsibilities

• Architect and develop an ML focused research project based on a real-world trading environment
• Work hands-on with hardware engineers to implement, verify, and deploy ML inference solutions
• Track and evaluate emerging research in neural architecture search, machine learning systems and quantization methods, and determine what translates to measurable improvements in our systems
• Present your project to the team, deepening our collective understanding of an area of ML acceleration
• Gain hardware design fundamentals from skilled RTL developers and learn how they apply to our industry
• Build skills to evaluate research not only from an academic perspective, but through real-world performance constraints, engineering costs, and industry impact

Your Skills and Experience

• Currently enrolled in a PhD program in Electrical Engineering, Computer Science, Physics, or a related field
• Solid understanding of hardware constraints and design trade-offs (e.g., pipelining, resource utilization, fixed-point arithmetic) that shape how ML models can be efficiently mapped onto FPGAs or custom ASICs
• Experience with hardware fundamentals, whether through VHDL/SystemVerilog development, HLS tools, or ML-to-hardware frameworks like hls4ml, FINN, or Vitis AI
• Understanding of machine learning fundamentals – neural network architectures, inference optimization, quantization techniques, ML frameworks such as PyTorch/TensorFlow
• Proficiency in Python or similar languages for tooling, testing, and simulation
• Strong communication skills and ability to work collaboratively across disciplines with both technical and non-technical teams

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: $225,000

At IMC, technology is at the core of everything we do. Our innovative in-house software drives millions of trading decisions daily, allowing us to outperform the competition through faster, more effective decision-making.

Based in Amsterdam, IMC's Trading Strategy Software Engineers deliver a wide variety of applications, systems and tools, including trading algorithm implementations, options pricing, volatility calculations, simulation frameworks, and data analysis & visualization tools for traders.

Your Core Responsibilities:

You will work together with traders, researchers, quants, and fellow engineers. You will take ownership of the end-to-end product development process for deliver high-impact projects -from requirements gathering to production deployment. Your goal is to deliver high-performance, reliable software using frequent iterations to get quick feedback and shorten our time-to-market. Key responsibilities include:

• Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
• Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
• Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.

Your Skills and Experience:

• At least 3 years of experience as a Software Engineer with excellent programming abilities;
• Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
• Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
• Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
• Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
• Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
• Master’s or PhD degree (or equivalent experience) in Computer Science or a related field;
• Experience with JVM-based languages (Java, Kotlin) or Python;
• Advanced math and quantitative skills are a plus;
• Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
• Experience with large-scale data and research pipelines compute clusters is a plus

In our current Tech stack we work with Java 21+ and Python 3 as the main programming languages to implement our Strategy software. We constantly evolve our technology stack and look for tools that best suit the problems at hand. If a new technology holds promise, we actively explore, adopt, and develop it.

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

As a Data Engineer, you‘ll be joining our core engineering team. You will contribute to our proprietary low-latency trading system, acquire market and trading data, implement ETL processes and collaborate with traders and researchers on improving the trading results.

Your Core Responsibilities:

• Collaborate on developing market and trading data pipeline systems, both in batch mode and streaming mode.
• Extend data pipelines to multiple exchanges/platforms and across different areas of application.
• Work closely together with other engineers and researchers, providing efficient data solutions for our research and trading operations.

Your Skills and Experience:

• Masters in Computer Science, Mathematics, Physics or a related technical field. Industry experience in big data would be a big plus.
• Skills in data pipeline technologies such as Clickhouse, Flink and Kafka. Experience with Kubernetes is a plus.
• Proficient programming experience in Java/Scala & Python, C++ being a plus.
• You are absolutely fluent in English and enjoy working in an international team.
• You are eager to design, develop, test, deploy, maintain and improve software.

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

IMC is building a new Power and Gas Trading business in Aarhus, Denmark, the hub for power and gas trading in Europe. Backed by one of the world’s most successful trading firms, this new venture combines the energy and autonomy of a startup with the global reach, stability, and expertise of IMC’s 30+ years in trading.

We are building a strong, independent Aarhus-based team with local leadership, supported by IMC’s world-class technology, quantitative research, and trading infrastructure. To achieve our ambitious hiring goals, we are seeking strong Software Engineers to join the team and play a pivotal role in helping us grow this new business.

Your Core Responsibilities:

• Build, as part of a team, a full technology stack that supports power and gas trading, including exchange connectivity, trading systems, trading strategies, data analysis, and pricing. We are looking for strong developers that specialised in back-end, algorithms, trading systems, execution systems or other relevant domains
• Maintain and improve the tech stack in collaboration with trading
• Train new joiners

Your Skills and Experience:

• Strong academic background, preferably in computer science or a quantitative field
• 2+ years of professional experience as a software engineer
• Experience European power and gas trading industry is a plus
• Strong programming skills in Java. Experience with other relevant programming languages such as Python or C++ is considered a plus
• Excitement for working in a start-up environment and a variety of systems/platforms/tools
• The ability able to work on greenfield projects under minimal supervision and to take full ownership of the applications you build
• A high degree of flexibility and adaptability: willing and able to deal with uncertainty and ambiguity in a rapidly evolving environment
• Fluency in English

Mission (Business Support Engineering)

You will build and run internal products for IMC’s Business Operations teams, including People Management, HR, Training, Recruitment, and Finance.

These products enable and scale IMC’s training and recruiting processes through reliable systems, automation, and self-serve workflows.

Your core responsibilities

As a full-stack software engineer, you will take ownership end-to-end: from requirements gathering through production delivery, balancing quality, testability, and speed of delivery. 

Responsibilities:

• Design, build, test, deploy, and maintain internal Java/Spring Boot services, supporting HR/training/recruiting/finance workflows.
• Test, build, deploy and maintain frontend applications using React / Next.js in TypeScript
• Build and operate services in AWS, including monitoring, alerting, and incident response participation (as applicable).
• Implement infrastructure as code using AWS CDK (Cloud Development Kit), including secure-by-default patterns.
• Partner with internal stakeholders (People/HR/Training/Recruitment/Finance) to gather requirements, clarify priorities, and iterate on solutions.
• Drive quality through unit tests, integration tests and performance testing
• Contribute to engineering practices: CI/CD improvements, observability, documentation, and shared platform patterns.

Skills and experience (required)

• 3+ years software engineering experience delivering production systems end-to-end (requirements => production ownership).
• Strong Java skills (typically Java 11+; align with team standards).
• Strong Spring Boot experience building APIs and services.
• Solid grasp of modern front-end frameworks – ideally React.js
• Hands-on AWS experience running services in cloud environments.
• Solid testing practices: unit, integration, and performance testing.
• Docker and Kubernetes knowledge (build, run, troubleshoot containerized workloads).
• Comfortable working in Linux environments.
• Strong troubleshooting and pragmatic problem-solving.

Nice to have

• Python experience, specifically in data pipelining and tooling.
• Infrastructure as Code experience, specifically AWS CDK (or equivalent IaC with readiness to adopt CDK) is a plus.
• Experience with internal platforms and enterprise workflow automation.
• Experience with AI automation.

ABOUT THE ROLE:

At IMC, we continually innovate new solutions to remain competitive in a dynamic financial landscape. We can never sit still. We need to continually improve to stay ahead. If the challenge of using the latest technology to solve problems sounds appealing, then the IMC Hardware Engineering Internship is a great fit for you.

Hardware 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 Hardware Engineers deliver results and make a difference.

As a Hardware 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. Your assigned hardware project likely to be focussed on Low Latency.

Low Latency
Dedicated to the development and execution of ultra-fast systems that underpin IMC’s trading infrastructure, you will be building and maintaining systems with minimal latency to support high-frequency trading. You will be largely working on SystemVerilog and C++. You shall interact with software, performance and network engineers.

WHAT YOU'LL DO:

• During the internship, you will be immersed in real projects, complex problem-solving, and opportunities to learn from our strongest engineers and traders.
• Develop your knowledge of algorithm complexity, professional design and writing fluent code with our state-of-the-art FPGA technology.
• Learn both hardware and software development skills.
• Develop with C++ and SystemVerilog programming languages.
• 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.
• Have the opportunity to secure a full-time role with IMC once you graduate.

YOUR SKILLS AND EXPERIENCE:

• An academic background in Electronic Engineering, Computer Engineering, Computer Science, or equivalent, with a minimum Distinction average required; High Distinction preferred.
• Have the right to work in Australia or New Zealand.
• Have commenced your penultimate year of study.
• Proficient in SystemVerilog, Verilog or VHDL.
• Proficient in C++.
• Knowledge of Python.
• Knowledge of logic design.
• Demonstrated high impact across experiences, including scholarships, competitions and internships.
• Must be able to start the internship in November 2026.

LIFE AT IMC:

Culture & Values

IMC offers an open, collaborative and low-hierarchy environment where our people are empowered to make an impact from day one. We invest heavily in learning and development to help our people grow quickly, with collaboration at the core of how we work. We also give back, donating 2% of annual profits to our Charitable Foundations and supporting employee-led volunteering initiatives.

Our values guide how we work: Dare to continuously innovate. Collaborate to succeed. Champion the best ideas. Take responsibility. Keep both feet on the ground. Build for our future.

We also offer a competitive salary package and a range of perks and benefits to ensure you are set up for success.

Perks & Benefits

• Work from our spectacular new Sydney office in Circular Quay with sweeping harbour views that was recently named “World Building of the Year 2022”.
• 6-week traineeship for graduates in one of our global offices, with opportunities to travel and work overseas in one of our 9 offices across APAC, India, US, UK and Europe.
• In-house chef with daily breakfast, lunch and dinner provided, as well as an in-house barista for free coffee all day!
• Social events including Friday night drinks, annual weekend away, social clubs, and regular team events.
• Opportunities to give back with in-house charity days, paid volunteering leave and dollar-matched charity donations.
• Wellbeing allowance and complimentary workout sessions including Barry's bootcamp, Pilates and boxing.

Think you have what it takes? We’d love to hear from you. Apply now.

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do

• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring

• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have

• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why This Role at IMC

• Impact at scale: Your work will help bring AI directly into production developer workflows
• Growth: You’ll gain hands-on experience with cutting-edge AI systems while learning from specialists in AI, systems, and developer productivity
• Collaboration: Join a team that works closely across engineering disciplines to solve high-value, pragmatic problems

Please note that immigration sponsorship is not offered for this specific opening.

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

At IMC, we believe technology is the foundation of our competitive edge — and machine learning is increasingly central to how we trade. Over the past few years, we've been steadily building our machine learning capabilities: developing infrastructure, growing our in-house GPU cluster, deploying models into production, and partnering closely with quant researchers and traders to generate real impact. Now we’re expanding the team, scaling our systems, and accelerating the application of deep learning in our research and execution workflows.  We're looking for a Principal Machine Learning Engineer to help shape the next phase of our platform — influencing architecture, driving best practices, and solving high-leverage problems. You’ll work alongside researchers and technologists to design the systems that power experimentation, training, and deployment of ML models — and help set the direction for how machine learning is done at IMC as we scale. If you’ve built ML infrastructure at scale elsewhere and are looking for a role where your ideas will genuinely help shape our firm’s future — we’d love to hear from you.

Your Core Responsibilities: 

• Design and build end-to-end infrastructure for training, evaluation, and productionization of ML models, working closely with our HPC engineers who manage our on-prem compute cluster
• Influence foundational choices around data access, compute orchestration, experiment tracking, model versioning, and deployment pipelines
• Partner with quant researchers to accelerate iteration cycles, tighten feedback loops, and bring models from prototype to live trading
• Work with researchers to adapt and deploy modern architectures — transformers, state-space models, temporal convolutions, graph neural networks — to noisy, high-frequency financial data. Explore techniques like self-supervised pretraining, representation learning, and cross-sectional modelling where they offer genuine edge
• Shape our approach to reproducibility, continual learning, and production monitoring across a petabyte-scale data environment
• Define standards that create consistency across teams and geographies; mentor engineers and influence technical culture beyond your immediate work
• Keep pace with developments in deep learning research and ML infrastructure; bring ideas from academia and industry into how we work — whether that's new architectures, training techniques, or tooling

Your Skills and Experience: 

• 8+ years of experience building ML platforms or infrastructure at a leading tech company, research lab, or quantitative firm
• A track record of designing and owning large-scale training and inference systems — not just contributing, but architecting
• Deep proficiency in Python, with strong experience in either CUDA or C++
• Hands-on expertise with modern deep learning frameworks (PyTorch, TensorFlow, or JAX) and practical experience implementing architectures like transformers, attention mechanisms, or sequence models
• Strong foundation in deep learning fundamentals: optimization, regularization, loss design, and the trade-offs that matter when training at scale
• Experience with distributed training at scale (Horovod, NCCL) and GPU optimization (cuDNN, TensorRT)
• History of deploying models to production with strong observability, reproducibility, and monitoring practices
• Comfort working across the ML stack from data pipelines to training infrastructure to serving systems

Why This Role: 

• Build, don't inherit — You'll make foundational technology choices in a platform that's still being defined, not maintain someone else's legacy.
• Real investment, real backing — This is a strategic priority with resources behind it, not a side experiment.
• Direct impact on trading — Your infrastructure will power models that make real trading decisions in competitive global markets.
• Global scope — Work with teams across New York, Chicago, Amsterdam, London, Sydney, Hong Kong and beyond; define practices that can scale worldwide.
• Ideas over titles — IMC's culture values clarity, rigor, and collaboration. The best ideas win, regardless of where they come from.
• Tight coupling with research — You won't be building in isolation. Researchers and engineers work side-by-side, iterating together.

#LI-DNP

IMC has a strong presence in traditional Finance and has been expanding into Crypto over the last years. Through its overseas affiliates, IMC provides liquidity and trades on many cryptocurrency exchanges and DeFi protocols. You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities, with one of the most exciting aspects of the job being our quick feedback loop in the research, development and deployment of strategies.

As a Python Software Engineer, you will work closely with our trading and engineering teams on a variety of applications, tools and automation projects. You’ll be placed in an environment consisting primarily of a large Python analysis ecosystem drawing data from various sources including our own trading systems. You’ll build analysis & visualisation tools at the heart of the business logic, in close collaboration with the traders who use them. Your work involves both interpreting ideas, coming up with your own, and efficiently implementing these into tools that are reliable, scalable and performant.

Together with traders, researchers and engineers, you deliver challenging projects, while taking ownership for end-to-end product development – from requirements gathering to production. You’ll write reliable and scalable software while balancing time to production with quality and testability. Advanced automated testing and daily deployments will allow you to achieve agile and incremental benefits. Within a complex landscape of varying systems and technologies, you’ll be constantly challenged to consider trade-offs between throughput, simplicity, scalability and maintainability.

Your Core Responsibilities: 

• Collaborate closely with researchers, and engineers to deliver challenging projects.
• Build, maintain, and enhance research frameworks and data pipelines that enable trading and quantitative research.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Take ownership of end-to-end product development, from requirements gathering to production deployment
• Navigate a complex landscape of diverse systems and technologies, making informed trade-offs between throughput, simplicity, scalability, and maintainability

Your Skills and Experience:

• Master’s or Ph.D. in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 2–3 years of professional Python development experience
• solid computer science knowledge, has experience or capability to quickly adapt to additional languages such as Java, Scala, C++, Go, etc.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimize data pipelines, and present data effectively.
• Experience with orchestration and containerization tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimization; familiarity with machine-learning techniques is beneficial.

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

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.
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

IMC’s Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You’ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you’ll see your work  move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning—where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success.

Your Core Responsibilities:

• Collaborate closely with traders to refine existing strategies and generate new ideas.
• Build, maintain, and enhance research frameworks  and data pipelines that enable trading and quantitative research.
• Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Drive end-to-end research cycles — from ideation through production deployment.

Your Skills and Experience:

• Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively.
• Foundational knowledge of quantitative trading concepts and equity/index options —  whether through coursework, projects, internships, or professional work.
• Exposure to web/API frameworks such as FastAPI and React is advantageous.
• Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial.

Technology is at the heart of modern electronic trading. IMC is seeking highly driven individuals to apply quantitative research techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in the highly competitive world of ultra-low-latency trading.

As a Performance Engineer at IMC, you will play a pivotal role in analysing, optimising, and tuning our systems interaction with exchange systems holistically. Working closely with cross-functional teams, you’ll be tasked with uncovering performance improvements across the trading stack. This role combines technical ingenuity with creative problem-solving to outsmart competition in one of the most demanding technical landscapes.

Your Core Responsibilities

• Black Box Reverse Engineering and Analysis: Analyse and understand the behaviour of complex systems using black-box techniques, identifying performance bottlenecks and optimisation opportunities. Designing and performing statistical experiments to explain emergent real world phenomena.
• Quantitative research: use large datasets to understand exchange technology.
• Experimentation & Prototyping: Design, implement, and test innovative ideas, experiments and technologies. Develop quick internal prototypes to evaluate performance and real-world applicability.
• Collaboration & Communication: Liaise effectively with traders, software and hardware engineers, and infrastructure teams to share insights and implement solutions.
• System Analysis: Analyse terabytes of network data to identify patterns, validate hypotheses, and optimise system performance.

Your Skills and Experience 

• Proficient understanding of computer internals, networking and Linux (at least two out of three). Skilled in reverse engineering techniques.
• Inquisitive mind. Think Sherlock Holmes and the case of the missing microsecond.
• Understanding of complex, bespoke networks and networking stacks.
• Experience with data and system analysis in Python
• Be able to work self-sufficiently with minimal guidance after internal training
• Capable of working autonomously while contributing to a multidisciplinary team. Always looking for ways to gain an edge.

At IMC, technology is the driving force behind everything we do. Our in-house developed software executes millions of trading decisions each day, enabling us to outperform the competition by making smarter and faster choices.

We're looking for an experienced software developer, with strong communication skills to join our productivity team. The productivity team exists to amplify the effectiveness of trading, research, and engineering teams. Instead of directly building trading strategies, they provide tools, infrastructure, and processes that reduce friction and accelerate delivery. The role requires building robust solutions and solving challenges up and down the tech stack. This team owns the remote development environment used by hundreds of developers and continually tackles bottlenecks in build processes, whether they are impactful one-line fixes or sweeping architectural shifts. The team supports codebases in a variety of languages, including Python, C++, and Java, to improve the daily productivity of hundreds of developers across the globe.

Your Core Responsibilities:

• Scale and advance IMC's trading systems builds and development tooling to support an excellent work environment for developers
• Ensure reliable multi-tenant development environment operations supporting hundreds of concurrent users across global regions
• Troubleshoot potential issues with build infrastructure and implementing improvements
• Design and build infrastructure supporting the development, build, test, and release processes
• Drive adoption of best practices in code health, development productivity, and maintainability

Your Skills and Experience:

• 5+ years of software development experience in Python, Java, and/or C++ required
• Experience with Kubernetes, containerization, and cluster management
• Experience implementing monitoring and alerting systems with tools such as Grafana, Prometheus and observability platforms
• Prior experience with Bazel or other monorepo-build software preferred
• Excellent written and verbal communication skills in interacting with stakeholders across all phases of product design, development, and delivery

IMC is seeking a highly skilled C++ Software Engineer to join our Chicago team. As a Software Engineer, you will design and develop software solutions tailored to the hardware-specific needs of our global trading system with a focus on optimizing performance. Our dynamic, fast-paced tech environment enables collaboration and rapid feedback loops across global teams. You will be responsible for spotting new opportunities, solving problems and developing innovative technologies. Software development here is innovative, pragmatic and fun, even as complexity grows.

Your Core Responsibilities: 

• Design and build low latency, high-performance trading systems
• Optimize production code and other system components to achieve low-latency and high-throughput capabilities 
• Write highly performant software solutions to control and interface with hardware components such as ASICs and FPGAS
• Work closely with hardware engineers and cross-functional teams to understand requirements and implement effective solutions
• Ensure a seamless integration of new applications and enhancements to the existing trading infrastructure 

Your Skills and Experience: 

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field of study
• 2+ years of professional experience using modern C++ in a low-latency environment  
• Experience with software development for hardware platforms 
• Knowledge of trading systems and financial markets is a strong plus 
• Excellent problem-solving and communication skills 

#LI-DNP

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC’s technology and trading capabilities.

Your Core Responsibilities: 

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience: 

• 5+ years of experience in machine learning with a focus on training or inference systems
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Exposure to cloud platforms and orchestration tools
• A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

#LI-DNP

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

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 CeFi team, which builds the algorithms that support IMC's trading activities. As a member of the CeFi 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 exchange microstructure
• Stay on top of updates to the exchange landscape

Your Skills and Experience: 

• Hard skill requirements:
  • Proficiency in applied mathematics, statistics, numerical modeling
  • Knowledge of cryptocurrency
  • 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
  • In-depth knowledge of concrete blockchains on conceptual and/or programming level
  • Hands-on programming experience in a quantitative trading environment

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

We’re looking for an experienced and analytical Senior Derivatives Pricing Developer to join our Chicago office. IMC’s Pricing and Risk (PAR) software development team builds the core infrastructure used to price every asset class and facilitate desks to manage risk across each region we trade. These components run on thousands of servers and are deeply embedded in our trading systems.

You’ll work on a mix of quantitative modeling and engineering, helping develop and maintain the systems and libraries that drive real-time decisions across the firm, globally. The work is highly technical, collaborative, and critical to our day-to-day trading.

Your Core Responsibilities

• Build and maintain high-performance numerical algorithms for pricing and risk management across a range of financial products.
• Implement and refine models that capture instrument value and risk under real-world conditions.
• Work closely with traders, quants, and developers across the globe to ensure model outputs are accurate, explainable, and aligned with market behavior.
• Own core components of IMC’s pricing library, used across all desks, globally.
• Write reliable, scalable, and maintainable code in C++ and Java.

Your Skills and Experience

• At least 5 years of experience in a trading or finance environment, working on pricing models or related infrastructure.
• Strong knowledge of options pricing theory or other derivatives modeling.
• Background in mathematics and computer science, or related quantitative fields.
• Proficiency in C++ and/or Java, with a focus on production-quality code and scalable performance.
• Experience collaborating in multi-disciplinary teams, especially with quants, traders, or other highly technical colleagues.
• Strong problem-solving skills and the ability to turn complex ideas into robust, usable systems.
• Experience in implementing numerical algorithms for solving PDEs is strongly preferred.
• Experience in numerical analysis (error propagation, stability analysis, etc.) is a plus.

Your IMC journey as a Graduate Software Engineer will begin with a five-week Global Trainee Programme led by our seasoned engineers and traders alongside graduates from all three IMC regions: Europe, the United States, and Asia-Pacific. During this traineeship, you’ll deepen your knowledge about trading and financial markets, understand the tools and systems used at IMC, and learn how to write production software, craftsmanship and advanced topics in C++, Java or Python. Your training will continue back at your local office, where you’ll receive support from your dedicated mentor, an experienced software engineer at IMC. What happens next is up to you – on our Execution teams you might build anything from advanced networks to proprietary algorithms, while on our Strategy teams you could design systems powering big data and cutting-edge analytics.

YOUR CORE RESPONSIBILITIES

• Develop cutting-edge technology in advanced algorithms
• Support the development of our trading platform and software stack
• Gain experience across the entire software development lifecycle
• Collaborate with traders, quant researchers, and hardware engineers to improve our systems

YOUR SKILLS AND EXPERIENCES

• In your ultimate year of study in computer science, software engineering, or a related field graduating, and are seeking to join IMC full-time in February or August 2026
• Proficiency in C++ or Java is required. Additionally, experience with Python is preferred
• A working knowledge of algorithms and data structures
• First-class analytical skills and a desire to solve complicated problems programmatically
• A genuine interest in financial markets (no prior knowledge or experience is required)

Please note: You’ll have the opportunity to complete the recruitment process in your preferred programming language (Java or C++). Please note, however, that exclusive use of one language cannot be guaranteed.

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 September 2026. We encourage you to focus on enhancing your skillset before reapplying.

Due to U.S. consulate restrictions, candidates from certain nations (including Russia, Belarus, and Iran) are required to apply for their visa in a designated third country or to prove strong ties with a country of residency. Since the global traineeship begins shortly after employment starts, there is not enough time to establish the ties with the Netherlands which is needed for approval. As a result, we are unable to proceed with your candidacy for the graduate traineeship programme at this time. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com.

For more information on our technology interview process, please review our preparation guide here. 

IMC is launching a new power and gas trading business in Aarhus, Denmark – the European hub for energy trading. We are building a strong, independent, Aarhus-based team with local leadership, backed by more than 30 years of IMC’s global trading expertise.

As a Graduate Software Engineer in Aarhus, you’ll have the unique opportunity to help build a brand-new technology stack that supports all aspects of energy trading – from exchange connectivity and pricing to trading algorithms and real-time data analysis. You’ll grow rapidly through our global graduate program while contributing from day one to this exciting new venture.

Your IMC Journey

In your first year, you will join a five-week Global Trainee Program alongside graduates from our offices in Europe, the US, and Asia-Pacific. Led by experienced engineers and traders, this immersive program will introduce you to the world of trading, financial markets, and production-grade software development. You’ll dive deep into software craftsmanship, programming, and the systems that power our trading operations.

Back in our Aarhus office, you’ll join the Energy Trading team — a highly collaborative environment where you’ll help design real-time systems, process large volumes of data, and solve complex engineering challenges that directly impact the markets.

At IMC, innovation is at our core. We continuously invest in R&D and adapt quickly to evolving markets. We also invest in you — offering extensive training, mentorship, and global exposure to help you grow fast in a high-impact environment.

Your Core Responsibilities

• Design and build high-performance technology that supports energy trading
• Work on the full software development lifecycle, from idea to deployment
• Develop real-time pricing and trading systems, exchange connectivity, and analytics tools
• Collaborate closely with traders, researchers, and other engineers
• Be part of a new local team in Aarhus and shape its growth and culture

What You’ll Bring

• You are in your final year of a Computer Science, Software Engineering, or related degree, and graduating in 2026
• Strong programming skills in C++/Java
• Solid understanding of algorithms and data structures
• Excellent analytical and problem-solving skills
• A genuine interest in financial markets (no prior knowledge required)
• Full professional fluency in English
• You’re excited by the opportunity to shape a new business and build innovative systems from the ground up

For more information on our technology interview process, please review our preparation guide here. 

Please note: 

IMC’s graduate traineeship includes international travel to the US. Due to current visa processing challenges, we are unable to proceed with applications from candidates who only hold citizenship from Russia, Belarus, Iran, or Ukraine.

If you are a dual passport holder of another nationality or a European citizen who wants to relocate back to Europe, you remain welcome to apply and should inform our campus recruitment team of your situation: CampusEU@imc.com.

IMC’s Mumbai 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 organization. From ensuring our connectivity to the market and handling massive amounts of data, to implementing complex trading algorithms and integrating advanced hardware solutions.

Your Core Responsibilities: 

As a software engineer, you’ll work in multidisciplinary teams alongside other engineers as well as traders, researchers, and quants to deliver challenging projects, while taking ownership for 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 and daily deployments will allow you to achieve agile and incremental benefits.

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.

These are just some of the technologies our C++ software engineers are currently working with: C++ 20, Linux, Docker, Kubernetes, Apache Kafka, Apache Spark, Impala, Hadoop, Python and FPGAs.

Your Skills and Experience: 

• Strong academic background in Computer Science (B. Tech/B.E), with 4-8 years of work experience in C++

• Natural problem-solvers, who enjoy tackling fresh challenges each day

• Team players: to succeed, SWEs must be able to build strong relationships with those around them

• Excellent written and verbal communication skills; fluency in English