Python Developer
Role details
Job location
Tech stack
Job description
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Design, develop, and maintain scalable Python-based applications for credit risk and data processing.
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Implement and support risk models including PD (Probability of Default), EAD (Exposure at Default), LGD (Loss Given Default), and RAROC.
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Work closely with cross-functional teams to translate business requirements into technical solutions.
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Build robust data pipelines and perform data analysis using NumPy, Pandas, and related libraries.
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Develop and optimize SQL queries for efficient data retrieval and storage.
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Ensure high-quality code through best practices, code reviews, and automated testing frameworks like PyTest.
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Contribute to software architecture, design patterns, and system integration.
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Participate in CI/CD pipelines, deployment processes, and cloud-based implementations.
Requirements
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8-10 years of overall experience in software development with strong expertise in Python and SQL.
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Advanced proficiency in Core Python, including OOP concepts (classes, inheritance, decorators).
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Strong experience with data structures and algorithms.
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Hands-on experience with NumPy, Pandas, and data manipulation techniques.
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Solid understanding of credit risk concepts: PD, EAD, LGD, and RAROC.
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Experience in data management, model implementation, and IT processes.
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Familiarity with testing frameworks (e.g., PyTest) and development approaches like TDD/BDD.
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Exposure to CI/CD pipelines and cloud environments.
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Strong command of SQL (MySQL preferred).
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Good understanding of application security and code quality standards.
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Excellent communication skills in English (written and verbal).
You Should Possess the Ability to:
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Solve complex technical and data-related problems efficiently.
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Design clean, scalable, and maintainable software solutions.
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Work independently as well as collaboratively in a team environment.
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Translate business requirements into technical specifications.
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Optimize performance of applications and database queries.
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Adapt quickly to new technologies and evolving project requirements.
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Maintain high standards of documentation and coding practices.