Python Developer/Quantitative Developer
⚲ Warszawa
22 000 - 30 000 PLN (PERMANENT)
Wymagania
- Python
- C++
- SQL
- Linux
- Distributed systems
- Performance profiling
- Debugging
- Optimization techniques
- Financial markets
- Analytical skills
- Communication skills
- Bakctesting (nice to have)
- Pricing (nice to have)
- Simulation frameworks (nice to have)
- Market data systems (nice to have)
- Cloud infrastructure (nice to have)
- Quantitative finance (nice to have)
- Systematic trading (nice to have)
- Financial engineering (nice to have)
Opis stanowiska
O projekcie:
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.
Wymagania:
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.
Codzienne zadania:
- 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.
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.
Wymagania:
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.
Codzienne zadania:
- 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.
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