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Quantitative Developer - Altas Technologies at IMC

Amsterdam, Netherlands

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.

In 2023, IMC acquired Altas Technologies, a rapidly growing algorithmic trading firm with the ambition of creating tomorrow’s most technically advanced trading stack. By combining their highly advanced trading strategies with IMC’s execution and scaling capabilities, this move strengthens our position in the market and is an important step towards ensuring stability and long-term growth for the firm. 

Your Core Responsibilities:

You will become part of a core Quantitative Development team consisting of ~5 people working with cutting-edge technologies on both greenfield projects as well as optimizing existing systems and applications. The team has full end-to-end ownership of their stack. In this role you will:

  • Build, optimize and deploy fully automated, low-latency, high-throughput trading systems to execute equity and cryptocurrency trades, including integrating real-time machine learning prediction systems.
  • Design and maintain scalable data infrastructure for efficient ingestion, processing, and analysis of large datasets to support trading and research needs.
  • Collaborate with researchers to translate advanced machine learning models and trading strategies into high-performance, production-grade implementations.
  • Optimize market connectivity and exchange interactions to ensure low-latency, reliability, and execution efficiency in dynamic trading environments.*

 Your Skills and Experience:

  • Highly experienced in Python combined with experience with either C++ and/or Rust.
  • Experience with asynchronous/concurrent/multi-threaded and shared memory programming
  • Experience with deployment tools and Bash/scripting abilities
  • Hands-on experience with ML pipelines in high-performance environments (preferably with real-time, low-latency systems)
  • Experience with data processing pipelines, automated scheduling tools, and feature calculation engines is a strong plus
  • Experience in architecting significant scale container-style Microservice Architectures from design and testing (CI/CD) to execution, and deployment. 
  • Serious about clean code, simple but well-architected systems, and continuous improvement
  • A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus

About Us

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’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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IMC Voluntary Disclosure

At IMC, we understand the importance of diversity, equity and inclusion, and are committed to continually improving this in our recruitment process. As part of our commitment, we have added an additional question below, to better understand our candidates, and focus our marketing, sourcing and interviewing efforts, to ensure equitable outcomes. This question is voluntary, and the information you provide will only be used for the purpose stated above and will not be shared with interviewers in the application process. If you do not wish to provide a response to the question, there will be no adverse impact on your application.

 

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