工作描述
7 天前
About the Role
We are seeking a highly skilled Python Developer with strong quantitative exposure and experience in rapid application development (RAD). This role is ideal for a Python expert who understands trading concepts and enjoys building high-performance tools and systems in a fast-paced trading environment.
You will work closely with traders and quantitative researchers to design develop and optimize trading tools analytics platforms and data-driven applications.
Key Responsibilities
• Design develop and maintain high-performance Python applications for trading and research.
• Collaborate with traders and quants to translate trading strategies into robust system implementations.
• Build and enhance tools for data analysis backtesting and strategy monitoring.
• Optimize system performance latency and reliability.
• Develop APIs automation scripts and internal platforms to support trading operations.
• Work on rapid prototyping and iterative development in a dynamic environment.
• Ensure code quality through testing documentation and best development practices
Required Qualifications
• Strong expertise in Python (must-have).
• Solid understanding of data structures algorithms and object-oriented programming.
• Experience with libraries such as NumPy Pandas SciPy or similar.
• Exposure to quantitative analysis statistics or financial modeling.
• Understanding of trading concepts (equities derivatives crypto or other asset classes).
• Experience in rapid application development and agile environments.
• Strong problem-solving mindset and ability to work closely with business users.
We are seeking a highly skilled Python Developer with strong quantitative exposure and experience in rapid application development (RAD). This role is ideal for a Python expert who understands trading concepts and enjoys building high-performance tools and systems in a fast-paced trading environment.
You will work closely with traders and quantitative researchers to design develop and optimize trading tools analytics platforms and data-driven applications.
Key Responsibilities
• Design develop and maintain high-performance Python applications for trading and research.
• Collaborate with traders and quants to translate trading strategies into robust system implementations.
• Build and enhance tools for data analysis backtesting and strategy monitoring.
• Optimize system performance latency and reliability.
• Develop APIs automation scripts and internal platforms to support trading operations.
• Work on rapid prototyping and iterative development in a dynamic environment.
• Ensure code quality through testing documentation and best development practices
Required Qualifications
• Strong expertise in Python (must-have).
• Solid understanding of data structures algorithms and object-oriented programming.
• Experience with libraries such as NumPy Pandas SciPy or similar.
• Exposure to quantitative analysis statistics or financial modeling.
• Understanding of trading concepts (equities derivatives crypto or other asset classes).
• Experience in rapid application development and agile environments.
• Strong problem-solving mindset and ability to work closely with business users.

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