Senior Capital Modeling Lead - Remote (P&C)

CSAA Insurance Group; Clayton (NC); Remote; USD 178,000 - 237,000; Full time

Benefits offered by this job

Annual bonus eligibility

Remote-first culture

Job summary

CSAA Insurance Group seeks a Capital Modeling Lead, P&C Insurance, for a remote role in the United States. The candidate will develop internal economic capital models, partnering with Risk Management, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics in business decisions.

Requirements include 10+ years in P&C insurance economic capital modeling, strong programming skills (Python/R), and experience with ReMetrica.

Qualifications

• 10+ years in P&C insurance economic capital modeling or closely related quantitative modeling.
• Proven ability to design or build stochastic insurance models.
• Strong understanding of Monte Carlo simulation, VaR/TVaR, diversification and capital attribution.
• Knowledge of P&C underwriting and reserve risk; catastrophe model output integration.

Responsibilities

• Develop and expand CSAA's internal economic capital modeling capabilities and processes.
• Partner with Risk Management, Actuarial, Reinsurance, Investments, and FP&A to integrate capital analytics into decisions.
• Design reproducible, controlled modeling workflows with documentation and version control.
• Challenge model assumptions and collaborate with external consultants on methodology enhancements.
• Provide independent technical challenge and support for ORSA, rating agency, and governance discussions.

Skills

Python

R

ReMetrica

Git

Monte Carlo

VaR/TVaR

Education

Bachelor's degree

Tools

ReMetrica

Git

Python

Job description

CSAA Insurance Group seeks a Capital Modeling Lead, P&C Insurance, for a remote role in the United States. The candidate will develop internal economic capital models, partnering with Risk Management, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics in business decisions.

Requirements include 10+ years in P&C insurance economic capital modeling, strong programming skills (Python/R), and experience with ReMetrica.