Python Developer/Quantitative Developer

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.

Responsibilities

• Develop and maintain Python applications supporting quantitative research and trading workflows.
• Build scalable data processing pipelines for real-time and historical market data.
• Design and improve research tools, analytics platforms, and internal libraries.
• Optimize application performance and reliability.
• Collaborate with quantitative developers, researchers, and other engineering teams.
• Contribute to software architecture, testing, automation, and deployment processes.
• Gradually gain exposure to quantitative models, market data, and trading infrastructure.

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.

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.