Python Developer

Degree or ongoing studies in Computer Science, Mathematics, or another quantitative field.

Until 3 years of experience as Python developer;

Solid foundational knowledge of Python 3, demonstrated through academic, personal, or internship projects.

Basic knowledge of SQL, including query writing and data manipulation.

Basic familiarity with Linux and command-line operations.

Fundamental understanding of software engineering principles and version control using Git.

Interest in learning software development best practices, testing, and code quality standards.

Willingness to learn DevOps and CI/CD tools, such as Jenkins, Bitbucket, and SonarQube.

Strong analytical and problem-solving skills.

Interest in working in a quantitative risk and finance environment, particularly in rating engine development.

Responsibilities

Develop and maintain software components using Python 3.

Write and execute SQL queries to retrieve, manipulate, and analyse data.

Use Linux command-line tools to support development and troubleshooting activities.

Use Git for version control and collaborative software development.

Contribute to the implementation and maintenance of CI/CD pipelines, using tools such as Jenkins, Bitbucket, and SonarQube.

Apply software engineering best practices, including testing, code quality, and version control.

Support the development and maintenance of solutions within the quantitative risk and finance domain.

Contribute to the development, maintenance, and improvement of rating engines and related components.

Analyse technical and data-related problems and contribute to effective solutions.

Collaborate with technical and functional teams while progressively developing technical expertise and autonomy.

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