Application Developer in Business Analytics

Job description

The Analytics and Business Insights team is responsible for the data, processes, tools and analytics that are key in Reinsurance. The Team plays a critical role in the renewal monitoring, planning, forecasting and performance monitoring etc. The wide range of tasks to deliver insightful analytics creates very demanding challenges from the computational and technological side. As a key member of the Team, you will support the selection and implementation of technical solutions on the P&C data platform by utilising the latest advancements in IT-architecture and contribute to the development of the in-house R-Shiny applications which are the key tools in P&C Analytics.

Required experience & competencies

Experience: 

·  3-5 experience in software development and data management
·  Excellent technical capabilities in statistical programming and some understanding of actuarial concepts
·  Good understanding of data models and designs, developing and executing SQL, Python and R scripts on complex data models
·  Sound working knowledge with R or Python and data visualization packages
·  Experience with Databricks platforms and/or Foundry is a plus
·  Experience in applying data science technologies in business is an asset

Personal competencies:

·  Ability to work on several concomitant projects and tasks and able to prioritize
·  Strives in an innovative culture and empowers others to take business decisions 
·  Self-starter mindset to proactively identify opportunities and tackle them
·  Strong communication skills and a solution-oriented approach towards business problems and process improvements
·  Continuous learning and staying updated on programming languages and technologies are essential

Required Education 

·  Minimum a bachelor’s degree in computer science, software engineering or related fields
·  Actuarial background is an advantage

Key duties and responsibilities

·  Develop the applications’ architecture design and solve technical challenges to create functional and efficient solutions for business analytics
·  Optimize the applications in terms of speed, costs, and convenience by using modern technologies but also numerical and mathematical methods 
·  Ensure an efficient usage on a cloud infrastructure (Azure)
·  Perform code review and code quality assurance
·  Ensure applications of consistent coding standards and own the business logic of the code
·  Collaborate with software engineers in the Tech&Data organization to ensure compliance with SCOR’s IT landscape
·  Manage the testing work together with other business analysts and IT-professionals 
·  Develop solutions for data-driven business insights and advanced analytics (including machine learning) and support automatization initiatives in Reinsurance