Link Group
Python Developer/Quantitative Developer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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.
Full description
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.