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You will be updated with latest job alerts via email6-8years
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Salary Not Disclosed
1 Vacancy
Develop and maintain robust Pythonbased applications tailored to credit risk modeling in the banking domain.
Work within a Kubernetes environment to ensure scalable and containerized deployment of applications.
Collaborate closely with crossfunctional teams including risk analysts data scientists and cloud engineers to deliver highquality technical solutions.
Translate complex financial requirements into technical specifications and ensure timely delivery of solutions.
6 to 8 years of proven handson experience in Python development.
Solid understanding and practical experience in credit risk modeling.
Strong domain knowledge of the banking industry and financial risk processes.
Proficiency in working with Kubernetes for container orchestration and deployment.
Demonstrated ability to deliver highquality productionready code in fastpaced environments.
Analyze and translate business needs related to credit risk into effective software solutions.
Collaborate with teams across geographies and disciplines.
Maintain code quality through code reviews unit testing and documentation.
Adapt quickly to evolving requirements and deliver under tight deadlines.
Operate effectively in a remote or hybrid work setting.
An opportunity to work on cuttingedge credit risk modeling projects within the banking sector.
A dynamic and collaborative work environment in the heart of Amsterdam.
Exposure to international teams and highimpact business domains.
Shortterm project with the potential to showcase your skills in a highvisibility setting.
Full Time