Remote Capital Modeling Lead - P&C Insurance

CSAA; Arkansas; Remote; USD 178,000 - 237,000; Full time

Benefits offered by this job

Total compensation package

Annual bonus eligibility

401(k) with company match

Job summary

CSAA Insurance Group is hiring a Capital Modeling Lead to develop CSAA’s internal economic capital modeling and analytics capabilities. You will collaborate across ERM, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics, challenge existing methods, and build robust models.

The role emphasizes independence, governance, and strategic impact. The ideal candidate brings 10+ years in P&C capital/enterprise risk modeling, strong programming in Python or R, and experience with

Qualifications

• Bachelor's degree or equivalent in a related field.
• 10+ years in P&C insurance economic/capital modeling or related quantitative modeling.
• Proven ability to design/build stochastic models, not only run existing ones.
• Strong Monte Carlo, VaR/TVaR, dependency, diversification, and risk concepts.
• Experience with catastrophe models and reinsurance impacts.

Responsibilities

• Develop/expand internal economic capital models and analytics.
• Collaborate with ERM, Actuarial, Reinsurance, Investments, and FP&A.
• Translate capital results into actionable business insights for decision makers.
• Establish reproducible modeling processes with version control.
• Perform sensitivity, stress, and scenario analyses on models.

Skills

Python

R

Statistical modeling

Communicate complex concepts

Problem solving

Education

Bachelor's degree in a related field

Tools

ReMetrica

Git

SQL / data handling

Excel

Job description

CSAA Insurance Group is hiring a Capital Modeling Lead to develop CSAA’s internal economic capital modeling and analytics capabilities. You will collaborate across ERM, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics, challenge existing methods, and build robust models.

The role emphasizes independence, governance, and strategic impact. The ideal candidate brings 10+ years in P&C capital/enterprise risk modeling, strong programming in Python or R, and experience with