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Role Summary

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HIGHLIGHTS

AVP-level ERM role at a P&C insurer in Greenwich, CT focused on casualty accumulation and catastrophe modelling for (re)insurance. You will lead casualty ETL enhancements, model casualty reinsurance protections, and drive AI automation for ERM reporting to senior executives. Requires a senior candidate with strong data/analytics skills in R or Python.

JOB DESCRIPTION SUMMARY

  • Lead casualty accumulation analysis and catastrophe modelling for P&C (re)insurance
  • Improve casualty data ETL and partner with data engineers on scalable solutions
  • Build and present group-level ERM reports and deliverables to senior executives
  • Drive AI-driven automation of key risk processes
  • AVP role based at Berkley's ERM team in Greenwich, CT; 7+ years required

DOMAIN EXPERTISE

  • P&C casualty (re)insurance experience
  • casualty accumulation analysis and visualization
  • casualty catastrophe modelling and scenario research
  • modeling casualty reinsurance protections
  • casualty data ETL and collaboration with data engineers

KEY REQUIREMENTS

  • 7+ years experience in P&C (re)insurance with a focus on casualty
  • Proficiency in R or Python and strong Excel skills
  • Bachelor's degree required (STEM preferred)
  • Strong verbal and written communication; present to senior leaders

TECH STACK

  • Excel
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Role Summary

Loading...

HIGHLIGHTS

AVP-level ERM role at a P&C insurer in Greenwich, CT focused on casualty accumulation and catastrophe modelling for (re)insurance. You will lead casualty ETL enhancements, model casualty reinsurance protections, and drive AI automation for ERM reporting to senior executives. Requires a senior candidate with strong data/analytics skills in R or Python.

JOB DESCRIPTION SUMMARY

  • Lead casualty accumulation analysis and catastrophe modelling for P&C (re)insurance
  • Improve casualty data ETL and partner with data engineers on scalable solutions
  • Build and present group-level ERM reports and deliverables to senior executives
  • Drive AI-driven automation of key risk processes
  • AVP role based at Berkley's ERM team in Greenwich, CT; 7+ years required

DOMAIN EXPERTISE

  • P&C casualty (re)insurance experience
  • casualty accumulation analysis and visualization
  • casualty catastrophe modelling and scenario research
  • modeling casualty reinsurance protections
  • casualty data ETL and collaboration with data engineers

KEY REQUIREMENTS

  • 7+ years experience in P&C (re)insurance with a focus on casualty
  • Proficiency in R or Python and strong Excel skills
  • Bachelor's degree required (STEM preferred)
  • Strong verbal and written communication; present to senior leaders

TECH STACK

  • Excel

AVP, ERM - Actuary or Data Scientist

Berkley

P&C/Insurer/VP Level
Berkley

AVP, ERM - Actuary or Data Scientist

Berkley
Greenwich, United States•7mo ago
OnsiteReinsurance P&CGeneral Liability

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Job Overview

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

Acturhire Base Salary Estimate

Typical range
$191k - $221k

25th and 75th percentiles

Confidence
95/100
Supporting jobs
140comparable jobs
Unlock full breakdown with Pro

Ideal Candidate Profile

An experienced AVP-level ERM actuary or data scientist with 7+ years in P&C casualty (re)insurance, strong R/Python skills, and proven catastrophe and accumulation modelling experience.

Benefits

Shortlist Forming
Closing Soon
238d
238 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

Acturhire Base Salary Estimate

Typical range
$191k - $221k

25th and 75th percentiles

Confidence
95/100
Supporting jobs
140comparable jobs
Unlock full breakdown with Pro

Ideal Candidate Profile

An experienced AVP-level ERM actuary or data scientist with 7+ years in P&C casualty (re)insurance, strong R/Python skills, and proven catastrophe and accumulation modelling experience.

Benefits

Shortlist Forming
Closing Soon
238d
238 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."