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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python programming for data processing and analysis, with a strong focus on risk data interpretation and geospatial analysis. Possesses clear communication skills and the ability to collaborate effectively while working independently on complex datasets.
Highest-signal resume keywords
Python ProgrammingData Analysis LibrariesGeospatial AnalysisRisk Data InterpretationSQL Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonData ProcessingData ValidationData VisualizationAnalytical SkillsGeospatial Data HandlingSQLData AnalysisAttention to DetailVersion Control
Soft Skills
Clear CommunicationCuriosityProactive ApproachTeam CollaborationIndependent Work
Tools & Technologies
GitPandasNumpyGeopandas
Industry Keywords
Catastrophe RiskInsuranceReinsuranceRisk ModelsData Models
Tech Stack
Tools & technologiesNumpyPandasPythonSQL
About the role
Key responsibilities & impact- Support the analysis and processing of data related to catastrophic risks (natural and/or man-made)
- Develop and maintain Python code for data processing, validation, and visualization
- Contribute to the critical interpretation of model results, identifying anomalies, limitations, and potential improvements
- Collaborate with the team to integrate new features and optimize existing processes
- Document work clearly to ensure traceability and knowledge transfer
Requirements
What you’ll need- Prior experience, including academic or project-based, with risk data/models
- Strong programming skills, particularly in Python (data handling, scripting, analysis libraries)
- Strong analytical skills and attention to detail, with the ability to validate and interpret complex datasets, identify inconsistencies and assess results critically
- Familiarity with Git and basic version control workflows (branching, commits, pull requests)
- Curiosity, eagerness to learn and a proactive approach to understanding existing systems and proposing improvements
- Familiarity with Python libraries for data analysis (e.g. pandas, numpy) or geospatial analysis (e.g. geopandas)
- Clear communication skills and the ability to work independently on assigned tasks while collaborating closely with the team
- Advanced level of English
- General knowledge of the catastrophe risk domain
- Prior experience, including academic or project-based, with geospatial data
- Basic knowledge of SQL or databases
- Interest in insurance/reinsurance topics
- Knowledge of Italian (for interfacing with our Italian clients)
Benefits
Comp & perks- Competitive annual salary
- Access to the company’s welfare benefits programme
- Flexible working hours
- Remote work options