Catastrophe Data & Claims Analyst
OnsiteCommercial PropertyGeneral LiabilityHealth OtherCat ModellingPredictive Modelling & MLUW Support & Portfolio Management
Role Summary
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Senior P&C analytics role focused on catastrophe exposure and claims predictability in commercial lines. You'll build accumulation tools, run CAT exposure/AAL estimates with industry models (RMS/AIR), and develop claims indicators using data mining and predictive modelling. Onsite position in York, PA (also supported in Berwyn, PA).
JOB DESCRIPTION SUMMARY
- Develop CAT accumulation tools and exposure visualizations for property portfolios
- Model and validate US natural catastrophe exposures, AAL and PML using RMS/AIR
- Build claims reporting and predictive models using text mining and data scraping
- Train underwriting, claims, and actuarial teams on CAT modeling and exposure monitoring
- Onsite role in York, PA (also supports Berwyn, PA)
DOMAIN EXPERTISE
- Property and casualty commercial lines analytics
- Catastrophe modelling (AAL, PML, accumulation) and RMS/AIR experience
- Building insurance reporting and exposure monitoring tools
- Claims analytics including text mining and data scraping
- Validating reinsurance cost allocations and exposure assessments
KEY REQUIREMENTS
- Bachelor's degree in quantitative or related field required
- Minimum 5 years' P&C commercial lines experience in analytics/actuarial/claims/IT
- Working knowledge of catastrophe modelling concepts and RMS/AIR
- Proven experience building insurance reporting and monitoring tools
- Advanced proficiency with Excel and Power BI
TECH STACK
- Excel
- Power_BI
