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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 trade s on many cryptocurrency exchanges and DeFi protocols. IMC Zug is currently looking to expand its DeFi team, which builds the algorithms that support IMC's trading activities The DeFi team is small and highly flexible. We need the flexibility to respond to the rapidly changing DeFi landscape. As a member of the DeFi team, you will get the opportunity to work on many different projects and shape your role to your talents. Your work will vary from improving existing trading strategies and algorithms to working on completely new solutions from scratch. All, while closely collaborating with team members. Your Core Responsibilities: Collaborate on developing our highly competitive trading algorithm and platform Design and implement state-of-the-art, industry-leading trade execution and connectivity solutions Research and analysis of Defi protocols using on chain data and trading strategies Stay on top of updates to Defi protocols Your Skills and Experience: Hard skill requirements: Proficiency in applied mathematics, statistics, numerical modeling Knowledge of cryptocurrency Proficiency in one more blockchain-related programming languages such as golang, rust, solidity, move etc. Comfortable in a Linux R&D environment, incl. git and related tools Ability to research independently Proficiency in English Nice to haves Experience in blockchain analytics, DeFi protocols, MEV In-depth knowledge of concrete blockchains on conceptual and/or programming level Hands-on programming experience in a quantitative trading environment Deep understanding of the EVM, and/or the technical underpinnings of other blockchain ecosystems Smart contract design and development Experience with cryptography libraries, digital signature, hash algorithms Location and Office Culture IMC office in Zug, Switzerland Note that this is an onsite role, with some but limited flexibility for working from home You can expect a dynamic, fast-paced environment that delivers a steady stream of challenges and opportunities One of the most exciting aspects of the job is our quick feedback loop in the research, development and deployment of strategies We give people lots of responsibility and the support they need to make an impact from day one We promise you a flat structure and an open, collaborative culture that stimulates the sharing of ideas, knowledge and technology between our teams and offices About Us IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

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, 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 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 $200,000 — $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.

Join our dynamic and high-impact Data Engineering team, where you'll be responsible for our large-scale data collection, storage, access and query platforms. The work includes the safe and reliable operation of the platform, as well as projects to evolve and expand the capabilities. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. You will join a growing team of four in Sydney which is part of the larger APAC Data Team, and will collaborate with counterparts in Chicago, Mumbai and Amsterdam. Your Core Responsibilities: Manage and monitor distributed systems, storage infrastructure, and data processing platforms, including Kafka, HDFS, 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: 2+ years of experience in managing large-scale multi-petabyte data infrastructure in a similar role. Knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments. Experience in at least one of the following technologies: Kafka, HDFS, Kubernetes. 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. 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.

IMC operates on the cutting-edge use of technology to create a competitive edge over the competition. We also grow quick and have plenty of complex technical challenges. We're looking for an experienced SRE with strong background in managing distributed data systems on both bare metal Linux and Kubernetes. We want someone who can help us standardize deployments, elevate observability, and improve automation as we scale our data platform and other critical data services. You will join our Data Platform team, part of our local data team that builds and runs the systems that are used by traders, quant researchers and engineering teams, for all their data needs. The Data Platform team is responsible for the foundational platform that our data frameworks and tooling is built on top of. This includes observability, scalability and supporting standardised deployments. Your Core Responsibilities: As an SRE within IMC you will join a sub-team that takes a central role in all the data needs and you’ll be working to: Design, implement and operate our data platforms. Improve observability so we catch issues before our users do. Build automation to reduce toil and allow our systems to scale Support and own reliability of critical services (e.g. HDFS, Kafka and Dremio) Drive long-term architectural improvements, not just fixing issues, but preventing them. Your Skills and Experience: Strong experience managing distributed data platforms (e.g. Kafka, Hadoop, Spark, Dremio); including full installation, debugging and performance tuning Hands on experience deploying, configuring and orchestrating software on Linux and Kubernetes, with proven ability to troubleshoot issues in both environments Strong experience with infrastructure as code (Ansible preferred) and best practices Proficient programming experience in Python Ability to read, write and tune SQL queries Comfortable reading Java source code, tuning and debugging running JVMs. Familarity with data lakehouse technologies (e.g. Iceberg or Delta Lake) as well as query engine technologies (e.g. Dremio, Presto or Trino) Exposure to workflow orchestration tools like Airflow or Dagster A proactive mindset: you're not just fixing issues but preventing them. Comfortable working across teams, with minimal oversight. Our Tech Stack: Data Tools: Hadoop (HDFS), Kafka, Dremio, Iceberg, Clickhouse, Spark, Airflow, Flink Infrastructure Automation: Ansible, Puppet, Kubernetes (ArgoCD, Helm, Kustomize) Observability: Prometheus, Grafana, AlertManager Scripting: Python, Bash, SQL Others : PCAP infrastructure 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.

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. Your Core Responsibilities: 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 Your Skills & Experience: BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems) 5+ year of professional software engineering experience 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 Please note that immigration sponsorship is not offered for this specific opening. 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 $180,000 — $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.

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 Platform Engineering team in Sydney works closely with our global counterparts to deliver the runtime environments and services on which IMC's cutting-edge trading and business applications run. We work on a wide variety of systems and tools that utilize a combination of in-house, open source, and third-party technologies. We are currently looking to expand our Application Platform team. The Application Platform team helps turn IMC software into running applications. We develop and operate scalable, self-service systems and tools to configure, distribute, deploy, upgrade, and operate trading and supporting components in data centers around the world. We use input gathered from a range of internal stakeholders to design and implement creative solutions to efficiently keep tens of thousands of services and applications running and up to date. Your Core Responsibilities: Develop, test, deploy, and maintain high-performance, globally distributed Go applications. Collaborate with teammates, stakeholders, and internal customers across local and global teams. Partner with customers to understand their needs and design platform capabilities that help them configure, deploy, and operate software more effectively. Support customers, unblock teams, and turn recurring issues into platform improvements. Own the end-to-end service lifecycle, from requirements gathering and implementation to deployment, operation, and continuous improvement. Help operate and support the team's systems during Sydney business hours. Use automated testing and frequent deployments to deliver high-quality features quickly and iteratively. Balance trade-offs between latency, throughput, simplicity, scalability, reliability, and maintainability in a complex technology landscape. Your Skills and Experience: 1-3 years of professional software engineering experience and proficiency in a programming language is required (Go, Python, or Java) Strong analytical skills and interest in solving complex problems programmatically Experience with automated testing and CI/CD pipelines. Familiarity with Docker, Kubernetes, and Linux environments. Exposure to distributed computing and modern cloud-native software design. Strong communication skills and the ability to work with cross-functional teams. You have a DevOps mindset and are comfortable working across the entire application lifecycle, from development and testing to deployment and operations. Prior knowledge of financial markets or trading is not required, but curiosity and a willingness to learn are essential. 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 BP&A Team sits at the heart of our operations, partnering closely with finance, trading, and middle office teams. We serve as the business intelligence and analysis function for IMC to turn complex data into insights that drive real decisions. This role also connects you with colleagues across Chicago, Amsterdam, and Sydney, all part of a truly global team reporting into a Global Lead. We're looking for a Software Engineer who loves back-end development and wants to help build the tools and systems that power our business - front-end or UI/UX experience is a bonus. Your Core Responsibilities: Own meaningful pieces of system development, maintenance, process improvement, and automation, plus dig into database and front-end work along the way Team up with BI developers to shape best practices, and partner directly with finance, operations, and trading teams to keep the BP&A ecosystem running smoothly, reporting to the local lead Build tools that make things faster and smarter - boosting efficiency, streamlining data processing, and cutting load times Build high-end dashboards and visualization tools for stakeholders globally Work with large data sets and data pipelines that support storage, retrieval, and analysis across the finance organization Your Skills and Experience: Degree in Computer Science, Mathematics, Statistics, Econometrics, or another quantitative field 2–5 years software engineering experience, ready to make an immediate impact Strong Python and SQL skills; React experience is a plus Hands-on experience with agentic coding tools (e.g. Claude Code, Codex, Cursor) Comfortable with CI/CD pipelines (e.g. GitLab CI, Jira) Experience working in containerized environments (e.g. Kubernetes, Docker) Cloud experience required - AWS a plus Exposure to finance processes or AI/ML engineering a plus The ideal candidate thrives in a dynamic, fast-moving environment and enjoys the challenge of things changing quickly; they also blend technical depth with business savvy, have sharp analytical instincts and the interpersonal skills to bring people along with them Please note that immigration sponsorship is not offered for this specific opening. 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 $130,000 — $180,000 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.

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 Development Platform team. The Development Platform team exists to amplify the effectiveness of trading, research, and engineering teams. Instead of directly building trading strategies, we provide the tools, infrastructure, and processes that support all software development, aiming at reducing friction and accelerating delivery. The role requires building robust solutions and solving challenges up and down the tech stack. The team owns and evolves IMC's build systems and development tooling, continually tackling bottlenecks in build and development processes, whether that means an impactful one-line fix or migrating an entire codebase to Bazel. 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 Identify and implement improvements to software development workflows, from targeted, iterative refinements to sweeping architectural redesigns. Scale and advance IMC's trading systems builds and development tooling to support an excellent work environment for developers. Optimise compile times, improve code quality systems, and simplify software processes to improve the daily workflow of engineers Troubleshoot potential issues with build infrastructure and implementing improvements. Design and build infrastructure supporting the development, build, test, and release processes. Partner with development teams to align platform capabilities with their evolving needs, and drive adoption of best practices in code health, development productivity, and maintainability. Your Skills and Experience: 3+ years of software development experience in Python, Java, and/or C++ required. Knowledge of stable, dependable build environments and rapid feedback cycles. Prior experience with Bazel or other monorepo-build software required. Experience implementing CI/CD pipelines with tools such as Jenkins, TeamCity and GoCD. Experience with containerization technologies and tools such as Docker and Kubernetes. Excellent written and verbal communication skills in interacting with stakeholders across all phases of product design, development, and delivery. 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.