Junior Catastrophe Risk Analyst (Italy Only)
h3ABOUT RED /h3pRED (Risk, Engineering and Development) SpA was founded in 2012. It offers a wide range of services in the field of natural and human-induced hazard and risk assessment, with a particular focus on earthquake and weather-related perils. RED counts on 20 employees and collaborators with a Master or PhD degree. It is located in the historical city center of Pavia (Italy). RED has recently joined KatRisk, a leading global provider of catastrophe risk solutions, and is now part of a global enterprise with more than 300 employees worldwide. This offers the opportunity to work within a large international organization at the forefront of hazard and risk modeling. /ph3ABOUT THE ROLE /h3pWe are looking for a professional to join our catastrophe risk modeling and analysis team, with a solid programming background, particularly in Python, and strong data analysis skills. You will work closely with the technical team on existing systems and processes, with opportunities to propose methodological and automation improvements. /ph3RESPONSIBILITIES /h3ulliSupport the analysis and processing of data related to catastrophic risks (natural and/or man-made). /liliDevelop and maintain Python code for data processing, validation, and visualization. /liliContribute to the critical interpretation of model results, identifying anomalies, limitations, and potential improvements. /liliCollaborate with the team to integrate new features and optimize existing processes.
/liliDocument work clearly to ensure traceability and knowledge transfer. /li /ulh3REQUIRED EXPERIENCE AND SKILLS /h3ulliPrior experience, including academic or project-based, with risk data/models. /liliStrong programming skills, particularly in Python (data handling, scripting, analysis libraries). /liliStrong analytical skills and attention to detail, with the ability to validate and interpret complex datasets, identify inconsistencies and assess results critically. /liliFamiliarity with Git and basic version control workflows (branching, commits, pull requests). /liliCuriosity, eagerness to learn and a proactive approach to understanding existing systems and proposing improvements. /liliFamiliarity with Python libraries for data analysis (e.g. pandas, numpy) or geospatial analysis (e.g. geopandas). /liliClear communication skills and the ability to work independently on assigned tasks while collaborating closely with the team. /liliAdvanced level of English. /li /ulh3NICE TO HAVE /h3ulliGeneral knowledge of the catastrophe risk domain. /liliPrior experience, including academic or project-based, with geospatial data. /liliBasic knowledge of SQL or databases. /liliInterest in insurance/reinsurance topics. /liliKnowledge of Italian (for interfacing with our Italian clients). /li /ulh3BENEFITS /h3ulliCompetitive annual salary. /liliAccess to the company’s welfare benefits programme. /liliFlexible working hours. /liliRemote work options. /li /ul #J-18808-Ljbffr
/liliDocument work clearly to ensure traceability and knowledge transfer. /li /ulh3REQUIRED EXPERIENCE AND SKILLS /h3ulliPrior experience, including academic or project-based, with risk data/models. /liliStrong programming skills, particularly in Python (data handling, scripting, analysis libraries). /liliStrong analytical skills and attention to detail, with the ability to validate and interpret complex datasets, identify inconsistencies and assess results critically. /liliFamiliarity with Git and basic version control workflows (branching, commits, pull requests). /liliCuriosity, eagerness to learn and a proactive approach to understanding existing systems and proposing improvements. /liliFamiliarity with Python libraries for data analysis (e.g. pandas, numpy) or geospatial analysis (e.g. geopandas). /liliClear communication skills and the ability to work independently on assigned tasks while collaborating closely with the team. /liliAdvanced level of English. /li /ulh3NICE TO HAVE /h3ulliGeneral knowledge of the catastrophe risk domain. /liliPrior experience, including academic or project-based, with geospatial data. /liliBasic knowledge of SQL or databases. /liliInterest in insurance/reinsurance topics. /liliKnowledge of Italian (for interfacing with our Italian clients). /li /ulh3BENEFITS /h3ulliCompetitive annual salary. /liliAccess to the company’s welfare benefits programme. /liliFlexible working hours. /liliRemote work options. /li /ul #J-18808-Ljbffr