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Role Summary

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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

Loading...

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

Chief Actuary

Korra

P&C/Insurtech/C Suite Level
Korra

Chief Actuary

Korra
United States•3mo ago
Reinsurance P&C

Job Overview

Salary
Salary not specified
Years of Experience
7+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An executive-level P&C actuary (Chief-level) with 7+ years in casualty reinsurance, ACAS credential (FCAS preferred), strong Python skills and experience building production actuarial models and platforms.

ACAS

Benefits

Shortlist Forming
Closing Soon
92d
92 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
Salary not specified
Years of Experience
7+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An executive-level P&C actuary (Chief-level) with 7+ years in casualty reinsurance, ACAS credential (FCAS preferred), strong Python skills and experience building production actuarial models and platforms.

ACAS

Benefits

Shortlist Forming
Closing Soon
92d
92 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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