Role Summary

HIGHLIGHTS

P&C actuarial modeling role (Commercial/Property) focused on pricing and predictive modeling. You will build and validate ML and statistical models, partner with finance and risk teams, and support FIN P&C Property Modeling. Associate-level role based in Columbus, OH (hybrid preferred, remote possible).

JOB DESCRIPTION SUMMARY

Develop and validate pricing and risk models for P&C property using ML and statistical methods
Work with FIN P&C Property Modeling team and finance/risk partners
Use Python, SQL or R, GitHub, Excel and visualization tools (Tableau/Power BI)
Hybrid role preferred: 2 days/week in Columbus, OH or Des Moines, IA; fully remote possible
Associate-level role requiring 3+ years in predictive modeling or actuarial functions

DOMAIN EXPERTISE

predictive modeling
P&C property risk or property modeling
financial risk modeling / asset-liability management
feature engineering and data preprocessing

KEY REQUIREMENTS

Bachelor’s degree in actuarial science, statistics, mathematics, or related field
3+ years of experience in predictive modeling or actuarial/financial risk modeling
Proficiency with SQL and Python or R (scikit-learn, pandas) and GitHub
Experience with regression, classification, time series, and machine learning
Familiarity with data preprocessing and feature engineering

TECH STACK

Excel
PowerPoint
Tableau
Power_BI
Git_GitHub

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Develop and validate pricing and risk models for P&C property using ML and statistical methods
Work with FIN P&C Property Modeling team and finance/risk partners
Use Python, SQL or R, GitHub, Excel and visualization tools (Tableau/Power BI)
Hybrid role preferred: 2 days/week in Columbus, OH or Des Moines, IA; fully remote possible
Associate-level role requiring 3+ years in predictive modeling or actuarial functions

DOMAIN EXPERTISE

predictive modeling
P&C property risk or property modeling
financial risk modeling / asset-liability management
feature engineering and data preprocessing

KEY REQUIREMENTS

Bachelor’s degree in actuarial science, statistics, mathematics, or related field
3+ years of experience in predictive modeling or actuarial/financial risk modeling
Proficiency with SQL and Python or R (scikit-learn, pandas) and GitHub
Experience with regression, classification, time series, and machine learning
Familiarity with data preprocessing and feature engineering

TECH STACK

Excel
PowerPoint
Tableau
Power_BI
Git_GitHub

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Develop and validate pricing and risk models for P&C property using ML and statistical methods
Work with FIN P&C Property Modeling team and finance/risk partners
Use Python, SQL or R, GitHub, Excel and visualization tools (Tableau/Power BI)
Hybrid role preferred: 2 days/week in Columbus, OH or Des Moines, IA; fully remote possible
Associate-level role requiring 3+ years in predictive modeling or actuarial functions

DOMAIN EXPERTISE

predictive modeling
P&C property risk or property modeling
financial risk modeling / asset-liability management
feature engineering and data preprocessing

KEY REQUIREMENTS

Bachelor’s degree in actuarial science, statistics, mathematics, or related field
3+ years of experience in predictive modeling or actuarial/financial risk modeling
Proficiency with SQL and Python or R (scikit-learn, pandas) and GitHub
Experience with regression, classification, time series, and machine learning
Familiarity with data preprocessing and feature engineering