Remote Capital Modeling Lead — P&C Insurance

CSAA Insurance Group

Mississippi

Remote

USD 170.000 - 240.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Annual bonus eligibility
401(k) matches

Zusammenfassung

CSAA Insurance Group seeks a Capital Modeling Lead to build and enhance its internal economic capital model, leveraging ReMetrica and modern analytics. You will work with ERM, Actuarial, Investments, Product Management, and FP&A to expand capital analytics across the business.

The role requires 10+ years in P&C capital or related modeling, strong Python/R skills, and expertise in Monte Carlo, VaR/TVaR, and risk attribution. Remote-first with collaboration across teams.

Qualifikationen

  • Bachelor’s degree or equivalent in a related field; 10+ years of experience in P&C insurance capital modeling or related quantitative modeling.
  • Proven ability to design or build stochastic models, not just operate existing ones.
  • Strong understanding of Monte Carlo simulation, VaR/TVaR, dependency modeling and risk diversification.

Aufgaben

  • Develop and maintain CSAA’s internal economic capital model using ReMetrica and other tools.
  • Reproduce, challenge, and enhance model calculations and methodologies.
  • Collaborate with ERM, Actuarial, Investments, and FP&A to integrate capital analytics into business decisions.

Kenntnisse

Python
R
Monte Carlo
VaR
TVaR
CAPITAL MODELING
GIT/version control
Data analysis
Communication to leadership

Ausbildung

Bachelor’s degree or equivalent

Tools

ReMetrica
SQL
Python
R
Git

Jobbeschreibung

CSAA Insurance Group seeks a Capital Modeling Lead to build and enhance its internal economic capital model, leveraging ReMetrica and modern analytics. You will work with ERM, Actuarial, Investments, Product Management, and FP&A to expand capital analytics across the business.

The role requires 10+ years in P&C capital or related modeling, strong Python/R skills, and expertise in Monte Carlo, VaR/TVaR, and risk attribution. Remote-first with collaboration across teams.

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