freehire launches on Product Hunt on 26 August.

Follow →

Python Developer/Quantitative Developer

Summary

Build and maintain Python-based tools and platforms for quantitative finance, market data, and trading systems while learning from experienced quantitative developers.

We are looking for a Python Developer with 3–4 years of commercial experience who is interested in moving into the world of quantitative finance. This role is a great opportunity for an engineer with strong software development skills to learn how quantitative research, market data, and trading systems are built in a modern financial environment.

You'll work alongside experienced quantitative developers and engineers, building tools and platforms that support research, analytics, and trading while developing expertise in quantitative technologies.

What you'll gain

  • Opportunity to transition into a Quantitative Developer career path.
  • Mentorship from experienced quantitative engineers.
  • Hands-on experience with quantitative research platforms and trading infrastructure.
  • Exposure to financial markets, market data, and systematic trading.
  • Work on challenging engineering problems involving performance, scalability, and large datasets.

Requirements

  • 3–4 years of commercial experience as a Python Developer.
  • Strong knowledge of Python and software engineering best practices.
  • Experience working with SQL databases and Linux environments.
  • Understanding of APIs, data processing, and distributed applications.
  • Good analytical and problem-solving skills.
  • Willingness to learn quantitative finance, financial markets, and trading systems.
  • Good communication skills and ability to work in a collaborative environment.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.

Nice to have

  • Basic knowledge of C++.
  • Experience with data engineering or large-scale data processing.
  • Interest in financial markets, algorithmic trading, or quantitative research.
  • Experience with cloud platforms, Docker, or Kubernetes.
  • Exposure to performance optimization or high-performance computing.

See also