Remote Capital Modeling Lead, P&C Insurance

CSAA

Delaware

Remote

USD 178,000 - 237,000

Full time

6 days ago
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Job summary

CSAA Insurance Group (CSAA IG) is seeking a Capital Modeling Lead to build and enhance its internal economic capital framework. You will collaborate with ERM, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics.

The role emphasizes independent modeling, governance, and strong technical leadership. The successful candidate will design stochastic models, validate results, and support ORSA, rating agency, and regulatory discussions while ensuring clear documentation and

Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • 10+ years in P&C insurance economic capital modeling, enterprise risk modeling, or closely related quantitative modeling.
  • Proven ability to design or build stochastic insurance models, not just operate existing models.
  • Strong understanding of Monte Carlo simulation, VaR/TVaR, dependency modeling, diversification, and capital attribution.
  • Experience with catastrophe modeling and reinsurance concepts is preferred.

Responsibilities

  • Develop and maintain a reproducible, controlled internal economic capital model.
  • Challenge and improve existing model calculations and methodologies.
  • Collaborate with ERM, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics use.
  • Translate capital analytics into actionable business insights for decisions.
  • Support governance, validation, and regulatory discussions related to capital.

Skills

Monte Carlo simulation
VaR
TVaR
Capital allocation
Python
R
Communication to nontechnical leaders

Education

Bachelor's degree in related field

Tools

ReMetrica
Git/version control

Job description

CSAA Insurance Group (CSAA IG) is seeking a Capital Modeling Lead to build and enhance its internal economic capital framework. You will collaborate with ERM, Actuarial, Reinsurance, Investments, and FP&A to broaden capital analytics.

The role emphasizes independent modeling, governance, and strong technical leadership. The successful candidate will design stochastic models, validate results, and support ORSA, rating agency, and regulatory discussions while ensuring clear documentation and

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