Python Developer

Python Developer (Credit Risk)

Job Title: Python Developer – Credit Risk

Location: Johannesburg

Job Level: Mid - Senior Developer

Experience Required: 5+ years

Job Description

We are looking for a skilled Python Developer to join our dynamic Credit Risk Team. The ideal candidate will have a strong background in software development, passion for clean code, and the ability to solve complex problems. You will be responsible for developing, maintaining, and optimizing backend systems and APIs using Python. In addition the systems to be developed would be within the Credit domain so an understanding of credit risk models, including Stress Testing, Pricing, Expected Credit Loss (ECL), and Risk Assessment models or similar models will be beneficial

Key Responsibilities

• Redesign, develop, test, and maintain scalable backend services using Python.
• Write clean, efficient, reusable, and testable code following best practices.
• Collaborate with the development team to build robust and efficient ETL processes.
• Work closely with Business Analysts, and Project Managers to automate processes leveraging Python.
• Partner with quants and analysts to translate complex mathematical models into efficient, maintainable Python code.
• Structure data effectively for reporting purposes, ensuring only necessary fields and records are loaded.
• Design, develop, and maintain Python-based tools and applications.
• Optimize code performance to handle large datasets and support real-time processing requirements.
• Document systems comprehensively and actively contribute to internal knowledge sharing.
  
  

Skills & Qualifications

• A degree in a quantitative field (e.g., Mathematics, Finance, Computer Science, Engineering, or a related discipline).
• 5+ years of professional experience in Python development
• Strong experience with relational databases and SQL
• Proficient in version control systems such as GitHub and Azure DevOps
• Solid understanding and application of unit testing practices
• Exposure to Microsoft Power Platform tools (Power Apps, Power Automate, Power BI) is a plus
• Strong foundation in quantitative finance, statistics, or applied mathematics
• Hands-on experience with core Python libraries, including Pandas, NumPy and SciPy
• 3-5 years of hands-on experience developing credit risk models in Python and relevant Python credentials or qualification
• Strong understanding of financial risk management concepts, particularly credit risk (ECL, stress testing, pricing, risk assessment