Main responsibilities:
• • Developing risk, actuarial and data science models in Python
• • Creating new ideas for developments, such as automation or data science
• • Develop and optimize pipelines that automate data pre-processing, running of cash flow models and data post-processing
• • Proactively investigate existing solutions and proposes improvements and enhancements
• • Implement, maintain and ensure proper function of CI/CD process
• • Be able to work independently without supervision while being active contributor in DevOps team and to be able to challenge status quo
• • Participate at various internal projects
• • Present results to clients and Product Owner
Requirements:
• • Experience: 5+ years
• • English – min. B2
Specific knowledge of systems, processes, or products:
• • Advanced knowledge of Python, including object-oriented programming
• • Extensive experience with data processing using libraries such as numpy and pandas
• • Good analytical and communication skills in English
• • 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
