Senior Python Developer

• Design, develop, and maintain scalable Python-based applications for credit risk and data processing.
• Implement and support risk models including PD (Probability of Default), EAD (Exposure at Default), LGD (Loss Given Default), and RAROC.
• Work closely with cross-functional teams to translate business requirements into technical solutions.
• Build robust data pipelines and perform data analysis using Num Py, Pandas, and related libraries.
• Develop and optimize SQL queries for efficient data retrieval and storage.
• Ensure high-quality code through best practices, code reviews, and automated testing frameworks like PyTest.
• Contribute to software architecture, design patterns, and system integration.
• Participate in CI/CD pipelines, deployment processes, and cloud-based implementations.
• Ensure compliance with application security standards and code quality checks.

• 8–10 years of overall experience in software development with strong expertise in Python and SQL.
• Advanced proficiency in Core Python, including OOP concepts (classes, inheritance, decorators).
• Strong experience with data structures and algorithms.
• Hands‑on experience with Num Py, Pandas, and data manipulation techniques.
• Solid understanding of credit risk concepts: PD, EAD, LGD, and RAROC.
• Experience in data management, model implementation, and IT processes.
• Familiarity with testing frameworks (e.g., PyTest) and development approaches like TDD/BDD.
• Exposure to CI/CD pipelines and cloud environments.
• Strong command of SQL (MySQL preferred).
• Good understanding of application security and code quality standards.
• Excellent communication skills in English (written and verbal).

• Solve complex technical and data‑related problems efficiently.
• Design clean, scalable, and maintainable software solutions.
• Work independently as well as collaboratively in a team environment.
• Translate business requirements into technical specifications.
• Optimize performance of applications and database queries.
• Adapt quickly to new technologies and evolving project requirements.
• Maintain high standards of documentation and coding practices.

• Opportunity to work on advanced credit risk and data‑driven solutions.
• Exposure to modern technologies, cloud platforms, and CI/CD practices.
• A collaborative environment that encourages innovation and continuous learning.
• Challenging projects that enhance both technical and domain expertise.
• Focus on code quality, best practices, and professional growth.

Want to discuss this opportunity in more detail? Feel free to reach out.