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Role Summary

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HIGHLIGHTS

Manager-level P&C insurance modeling role focused on homeowners loss cost modeling. You will design, build, and deploy Python/SQL-based by-peril frequency and severity models, own production workflows in an Airflow pipeline, and lead a small modeling team. Hybrid role across San Francisco Bay Area, Austin, Dallas, and Morristown, NJ.

JOB DESCRIPTION SUMMARY

  • Lead homeowners loss cost modeling and set technical standards
  • Design by-peril frequency and severity predictive models
  • Build production-ready Python and SQL tooling in an Airflow pipeline
  • Partner with Product, Underwriting, and Engineering on deployments
  • Hybrid role with hubs in SF Bay Area, Austin, Dallas, and Morristown

DOMAIN EXPERTISE

  • Personal lines P&C insurance experience
  • Homeowners loss cost modeling
  • Experience with demand, underwriting, or claims modeling

KEY REQUIREMENTS

  • Bachelor’s degree in a quantitative field (required)
  • 5+ years in data science, analytics, or actuarial modeling in personal P&C
  • Strong experience with loss cost modeling and frequency/severity work
  • Advanced proficiency in Python and SQL
  • Experience translating models into production workflows (Airflow mentioned)

TECH STACK

  • Other_BI_Tool
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Role Summary

Loading...

HIGHLIGHTS

Manager-level P&C insurance modeling role focused on homeowners loss cost modeling. You will design, build, and deploy Python/SQL-based by-peril frequency and severity models, own production workflows in an Airflow pipeline, and lead a small modeling team. Hybrid role across San Francisco Bay Area, Austin, Dallas, and Morristown, NJ.

JOB DESCRIPTION SUMMARY

  • Lead homeowners loss cost modeling and set technical standards
  • Design by-peril frequency and severity predictive models
  • Build production-ready Python and SQL tooling in an Airflow pipeline
  • Partner with Product, Underwriting, and Engineering on deployments
  • Hybrid role with hubs in SF Bay Area, Austin, Dallas, and Morristown

DOMAIN EXPERTISE

  • Personal lines P&C insurance experience
  • Homeowners loss cost modeling
  • Experience with demand, underwriting, or claims modeling

KEY REQUIREMENTS

  • Bachelor’s degree in a quantitative field (required)
  • 5+ years in data science, analytics, or actuarial modeling in personal P&C
  • Strong experience with loss cost modeling and frequency/severity work
  • Advanced proficiency in Python and SQL
  • Experience translating models into production workflows (Airflow mentioned)

TECH STACK

  • Other_BI_Tool

Job Overview

Salary
$145k - $180k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Experienced manager with 5+ years in P&C homeowners modeling who is hands-on with Python and SQL, adept at building production pipelines, and skilled at leading and developing a small technical team. ACAS/FCAS credentials are a plus.

Benefits

Relocation AssistanceHealth InsuranceDental InsuranceVision Insurance401(k) PlanShort/Long Term DisabilityLife InsuranceHSA/FSA AvailableEquity/Stock OptionsFlexible Hours
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
$145k - $180k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Experienced manager with 5+ years in P&C homeowners modeling who is hands-on with Python and SQL, adept at building production pipelines, and skilled at leading and developing a small technical team. ACAS/FCAS credentials are a plus.

Benefits

Relocation AssistanceHealth InsuranceDental InsuranceVision Insurance401(k) PlanShort/Long Term DisabilityLife InsuranceHSA/FSA AvailableEquity/Stock OptionsFlexible Hours
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

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