Quant Developer (Python or C++ and Machine Learning)

CASPIAN ONE
London
7 months ago
Applications closed

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Quantitative Researcher (Machine Learning)

We are seeking an exceptionally talented Quantitative Developer to join a growing, high-performing systematic investment team in London. This is a unique opportunity to be part of a small, collaborative, and entrepreneurial group focused on building critical trading infrastructure in the fast-paced world of systematic equities trading.



Make sure to apply with all the requested information, as laid out in the job overview below.

This role is ideal for a self-starter who thrives in a dynamic environment, with opportunities for career growth and exposure to cutting-edge technology and innovative trading strategies. We are looking for the best of the best, and there is no set budget for this role. If you are passionate about building systems for high-impact trading and want to be part of a top-tier hedge fund environment, we want to hear from you!


Key Responsibilities:

  • Assist in building systems for implementing trading algorithms that the team is actively researching.
  • Design, code, and maintain the team’s trading infrastructure.
  • Develop and maintain tools to support systematic trading infrastructure.
  • Conduct data analysis and generate both live and historical analytical reports.
  • Stay up-to-date with the latest technologies and tools, including technical libraries and computing solutions.
  • Collaborate closely with the Senior Portfolio Manager (SPM) and trading group, engaging transparently in the entire investment process.


Preferred Technical Skills:

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Applied Mathematics, Statistics, or a related STEM field.
  • 5+ years of experience with Python and C++.
  • Strong understanding of computer hardware and optimization techniques.
  • Proven experience in building out production trading infrastructure.
  • Experience creating quantitative tools for research purposes.
  • Strong communication, analytical, and quantitative skills.
  • Ability to manage and complete projects independently.


Preferred Experience:

  • Open to candidates with strong backgrounds from both finance and technology sectors.
  • Experience working directly with systematic trading teams or building tools for quantitative research is highly desirable.


This role requires 5 days a week in the office, providing you the chance to work closely with top-tier professionals in a hands-on, interactive environment. If you’re ready to bring your skills and experience to a challenging yet rewarding role with a leading hedge fund, apply now!


Note:This position does not have a predetermined budget, and we are seeking only the most talented candidates who can deliver exceptional results.

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