Python Developer with Numpy Investment Banking

Summary: The role is for a Senior Python Developer with a focus on financial applications, requiring extensive experience in Python programming, particularly with NumPy and Pandas. Candidates must have a strong background in quantitative investing and be capable of developing infrastructure to support such initiatives. The position is remote and emphasizes the need for solid financial experience. Overall, the ideal candidate should possess at least 12 years of relevant experience.

Key Responsibilities:

• Develop infrastructure to support quantitative investing.
• Utilize Python programming with NumPy and Pandas at a production level.
• Build and maintain REST APIs.
• Ensure system stability, robustness, and security.
• Troubleshoot and resolve systems-related issues.
• Work effectively as a team member and independently.
• Engage in creative problem solving and present multiple solutions.
• Manage version control and software delivery lifecycle.
• Understand and implement data ingestion processes and data integration platforms.

Key Skills:

• Bachelor's degree or higher in Computer Science or a related quantitative discipline.
• 5+ years of Python programming experience using NumPy and Pandas.
• 5+ years of professional experience in quantitative investing infrastructure development.
• Fluency with SQL.
• Strong understanding of object-oriented programming and microservice architecture.
• Experience working in a Unix environment.
• Knowledge of data structures and algorithms.
• Experience with version control systems.
• Ability to work independently and as part of a team.
• Creative problem-solving skills.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT