Quantitative Developer

4 Months ago • All levels

Job Description

As a Quantitative Developer at Altas Technologies, you will be part of a team of around 5 people. You will be involved in building, optimizing, and deploying automated, low-latency, and high-throughput trading systems for equity and cryptocurrency trades. Your responsibilities will also include designing and maintaining scalable data infrastructure for efficient data ingestion, processing, and analysis, collaborating with researchers to translate machine learning models into high-performance implementations, and optimizing market connectivity. The role encompasses full end-to-end ownership of the stack, emphasizing cutting-edge technologies and a focus on continuous improvement and clean code.
Good To Have:
  • Experience with data processing pipelines and scheduling tools.
  • Experience in architecting container-style Microservice Architectures.
  • A track record of contributing to open-source projects in relevant fields.
Must Have:
  • Highly experienced in Python, C++, and/or Rust.
  • Experience with asynchronous/concurrent/multi-threaded programming.
  • Experience with deployment tools and Bash/scripting.
  • Hands-on experience with ML pipelines in high-performance environments.

Add these skills to join the top 1% applicants for this job

team-management
cpp
rust
data-science
ci-cd
python
bash
machine-learning

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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