Qureos Mentor

IMC Trading

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 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&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
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 The opportunity to be in a brand new position in a growing team
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 Develop large-scale distributed training pipelines to manage datasets and complex models
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 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
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 Develop libraries to improve the performance of machine learning frameworks
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 Maximize performance in training and inference using GPU hardware and acceleration libraries
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 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
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 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
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 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
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 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
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 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
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 Your Skills And Experience
 
 
 
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 5+ years of experience in machine learning with a focus on training or inference systems
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 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
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 Strong engineering skills, including Python, CUDA, or C++
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 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
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 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
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 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
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 Exposure to cloud platforms and orchestration tools
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 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
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 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
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Machine Learning Engineer

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 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 &amp; 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:
 
 
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 Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
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 Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
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 Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.
 
 
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 Your Skills And Experience
 
 
 
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 At least 3 years of experience as a Software Engineer with excellent programming abilities;
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 Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
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 Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
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 Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
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 Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
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 Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
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 Master&rsquo;s or PhD degree (or equivalent experience) in Computer Science or a related field;
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 Experience with JVM-based languages (Java, Kotlin) or Python;
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 Advanced math and quantitative skills are a plus;
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 Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
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 Experience with large-scale data and research pipelines compute clusters is a plus
 
 
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 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.
 
 
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
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Trading Strategy Software Engineer

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 At IMC, technology is not a department; it&rsquo;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&rsquo;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 &amp; 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&rsquo;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.
 
 
 
 Responsibilities
 
 
 
 At IMC we believe in giving a lot of responsibilities quickly, you&rsquo;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:
 
 
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 Adding a new signal a trader came up with to our framework.
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 Supporting a trading desk in building the data analytics and visualisation tools they need.
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 Troubleshooting, debugging or deep diving into performance analysis.
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 Teaching others how to use our tech in their own scripts.
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 Building and distributing internal python libraries.
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 Starting whole new full-stack projects from scratch.
 
 
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 Your Skills And Experience
 
 
 
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 We care about 4+ years of working experience as a Software Engineer.
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 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).
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 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).
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 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&rsquo;re not afraid to ask questions and to speak up.
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 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.
 
 
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 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&rsquo;ll actively invest in exploring, adopting and developing it.
 
 
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
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Python Software Engineer

Join IMC Trading and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

IMC Trading

About Company

Machine Learning Engineer

Machine Learning Engineer

Trading Strategy Software Engineer

Python Software Engineer