Python Developer/Quantitative Developer

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.

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.

,[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: Python, C++, SQL, Linux, Distributed systems, Performance profiling, Debugging, Optimization techniques, Financial markets, Analytical skills, Communication skills, Bakctesting, Pricing, Simulation frameworks, Market data systems, Cloud infrastructure, Quantitative finance, Systematic trading, Financial engineering Additionally: Sport subscription, Private healthcare, Insurance.