Consultant, Risk Analytics Researcher
FlexibleNot SpecifiedCat ModellingPredictive Modelling & MLCapital Modelling & Economic Capital
Role Summary
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Senior P&C risk analytics role based in Columbus, OH focused on catastrophe and predictive modeling. You will develop ML and statistical models using weather, geospatial, and insurance loss data and combine stochastic catastrophe models with machine learning. The role requires advanced quantitative methods, ownership of model development, and collaboration with finance and risk partners.
JOB DESCRIPTION SUMMARY
- Research and develop catastrophe and predictive risk models using large weather and loss datasets
- Build hybrid approaches combining stochastic catastrophe models with machine learning
- Work with R/Python, SQL, geospatial tools; familiarity with RMS/Verisk desirable
- Senior individual contributor role with ownership of complex quantitative modeling
- Position targeted for Columbus, OH; remote candidates in US may be considered
DOMAIN EXPERTISE
- Catastrophe risk modeling
- Climate/weather and insurance exposure data analysis
- Geospatial data analysis (GIS, raster/vector)
- Machine learning for predictive risk modeling
- Experience with catastrophe modeling platforms (RMS/Verisk)
KEY REQUIREMENTS
- Master’s degree or higher in Data Science, Statistics, Math, or related
- Typically 5+ years of related work experience in financial or actuarial risk modeling
- Strong programming in R and/or data science workflows; SQL proficiency
- Experience with machine learning (Random Forests, regression, mixed-effects)
- Ability to work with geospatial data and large climate/weather datasets
TECH STACK
- Excel
- Jupyter_Notebook
- Git_GitHub
- PowerPoint