Role Summary

HIGHLIGHTS

Chief Actuary role at an insurtech focused on casualty reinsurance and ILS. You will lead stochastic loss forecasting, pricing and structuring for casualty (re)insurance deals, build production-grade modeling infrastructure, and translate technical insights for clients and stakeholders. Remote/office location based in the United States.

JOB DESCRIPTION SUMMARY

Lead stochastic loss forecasting and pricing for casualty ILS and reinsurance transactions
Design and build production-grade actuarial models and analytical tooling in Python
Partner with clients, software engineers, and data scientists to deploy models
Drive architectural decisions for modeling platforms and data pipelines
ACAS required; 7+ years casualty (re)insurance experience

DOMAIN EXPERTISE

Casualty (re)insurance actuarial experience
Developing actuarial or statistical models for decision-making
Strong Python programming and building reusable analytical tools
Experience with software development practices (version control, testing)

KEY REQUIREMENTS

ACAS required (FCAS strongly preferred)
7+ years of actuarial experience in casualty (re)insurance
Bachelor's or Master's degree in a quantitative field
Strong Python programming and building reusable analytical tools
Familiarity with version control, testing, and code review practices

TECH STACK

Git_GitHub

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead stochastic loss forecasting and pricing for casualty ILS and reinsurance transactions
Design and build production-grade actuarial models and analytical tooling in Python
Partner with clients, software engineers, and data scientists to deploy models
Drive architectural decisions for modeling platforms and data pipelines
ACAS required; 7+ years casualty (re)insurance experience

DOMAIN EXPERTISE

Casualty (re)insurance actuarial experience
Developing actuarial or statistical models for decision-making
Strong Python programming and building reusable analytical tools
Experience with software development practices (version control, testing)

KEY REQUIREMENTS

ACAS required (FCAS strongly preferred)
7+ years of actuarial experience in casualty (re)insurance
Bachelor's or Master's degree in a quantitative field
Strong Python programming and building reusable analytical tools
Familiarity with version control, testing, and code review practices

TECH STACK

Git_GitHub

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead stochastic loss forecasting and pricing for casualty ILS and reinsurance transactions
Design and build production-grade actuarial models and analytical tooling in Python
Partner with clients, software engineers, and data scientists to deploy models
Drive architectural decisions for modeling platforms and data pipelines
ACAS required; 7+ years casualty (re)insurance experience