drjobs Python Developer ID 2899

Python Developer ID 2899

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Jobs by Experience drjobs

6-8years

Job Location drjobs

Amsterdam - Netherlands

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

As a Python Developer you will:

  • 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.

What You Bring to the Table:

  • 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.

You should possess the ability to:

  • 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.

What We Bring to the Table:

  • 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.


As a Python Developer, you will: Develop and maintain robust Python-based 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 cross-functional teams including risk analysts, data scientists, and cloud engineers to deliver high-quality technical solutions. Translate complex financial requirements into technical specifications and ensure timely delivery of solutions. What You Bring to the Table: 6 to 8 years of proven hands-on 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 high-quality, production-ready code in fast-paced environments. You should possess the ability to: 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. What We Bring to the Table: An opportunity to work on cutting-edge credit risk modeling projects within the banking sector. A dynamic and collaborative work environment in the heart of Amsterdam. Exposure to international teams and high-impact business domains. Short-term project with the potential to showcase your skills in a high-visibility setting.

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.