Missions
Présentation de la société :Within SCOR, a data-driven company, you will be part of the renewal monitoring team (part of the P&C Analytics and Business Insights (ABI) team) and your role will be to support the renewal monitoring of the global P&C portfolio (Reinsurance, MGAs and SCOR Business Solutions) by:
- providing various analyses to support business stakeholders in the monitoring and steering of the portfolio;
- developing datasets and creating automatic reportings to be shared with the entire underwriting community;
- improving the existing renewals processes in the spirit of transformation & simplification (T&S) .
- Contribute to the preparation of the weekly renewal figures and various analyses for P&C management.
- Collaborate with business stakeholders (Head of market/region, CUOs, Underwriters) to understand their needs, to deliver customized solutions and to promote data-literacy in underwriting.
- Contribute to the development of the business metrics for portfolio steering and participate to their implementation into the various reporting tools.
- Take part of the development of the renewal monitoring for SCOR Business Solutions portfolio.
- Develop solutions for data-driven business insights and advanced analytics, and support automatization initiatives in P&C.
- Gradually embed Machine Learning and Deep Learning techniques in SCOR day to day underwriting analytics.
- Work on development and code maintenance of the various renewal datasets and workflows in Databricks using Python (PySpark) and R.
- Contribute to the development and maintenance of the existing reporting tools developed in RShiny and Tableau.
- Work closely with DDPO and T&D teams to integrate data sources and ensure data quality.
Profil recherché
Required experience & competenciesExperience
- 0 to 5 years of experiences in (re) insurance or data analytics fields
- Sound working knowledge with R (including RShiny) or Python (including PySpark) and data engineering and visualization packages.
- Experiences with data science projects
- Good understanding of data models and designs, developing and executing SQL scripts on complex data models.
- Excellent technical capabilities in statistical programming and understanding of non-life actuarial concepts.
- Experience in P&C Reinsurance is a plus.
- Experience in applying data science technologies in business is an asset.
- 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.