Main responsibilities:
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Developing risk, actuarial and data science models in Python
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Creating new ideas for developments, such as automation or data science
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Develop and optimize pipelines that automate data pre-processing, running of cash flow models and data post-processing
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Proactively investigate existing solutions and proposes improvements and enhancements
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Implement, maintain and ensure proper function of CI/CD process
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Be able to work independently without supervision while being active contributor in DevOps team and to be able to challenge status quo
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Participate at various internal projects
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Present results to clients and Product Owner
Requirements:
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Experience: 3+ years
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English – min. B2
Specific knowledge:
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Advanced knowledge of Python
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Extensive experience with data processing using libraries such as numpy and pandas
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Good analytical and communication skills in English
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Proficient knowledge of code versioning tools (such as Git, SVN). Implementation and usage of these tools in on-prem and cloud (Azure) environment
• A pro-active team player that can also operate as an independent professional, is self-sufficient in prioritizing
• Creative, „out of the box“ approach to issue solving
