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Role Summary

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HIGHLIGHTS

This life insurance actuarial role at Ethos focuses on mortality analytics and assumption modeling. You will own mortality-related assumptions, develop expected mortality models, and conduct experience studies to inform product development and financial reporting. The role involves using modern data tools and AI to drive insights, and requires partnering cross-functionally with underwriting, data science, and product teams. It is a fully remote position with a salary range of $150,000-$266,000.

JOB DESCRIPTION SUMMARY

  • Lead mortality analytics and own actuarial assumptions for life insurance products
  • Develop and maintain expected mortality models and assumption frameworks
  • Use modern data tools (SQL, dbt, Snowflake) and statistical modeling (R or Python)
  • Collaborate with underwriting, data science, and finance teams
  • Fully remote role – US-based, with salary $150K-$266K

DOMAIN EXPERTISE

  • Life insurance mortality modeling
  • Experience studies and assumption setting
  • Underwriting models and protective value studies

KEY REQUIREMENTS

  • FSA or near-FSA, experienced ASA considered
  • 5+ years in life insurance actuarial roles with mortality/underwriting focus
  • Proven ability to translate data into expected mortality outcomes
  • Experience with assumption setting for pricing, forecasting, or valuation
  • Strong statistical modeling skills in R or Python

TECH STACK

  • Excel
  • Snowflake
  • Git_GitHub
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Role Summary

Loading...

HIGHLIGHTS

This life insurance actuarial role at Ethos focuses on mortality analytics and assumption modeling. You will own mortality-related assumptions, develop expected mortality models, and conduct experience studies to inform product development and financial reporting. The role involves using modern data tools and AI to drive insights, and requires partnering cross-functionally with underwriting, data science, and product teams. It is a fully remote position with a salary range of $150,000-$266,000.

JOB DESCRIPTION SUMMARY

  • Lead mortality analytics and own actuarial assumptions for life insurance products
  • Develop and maintain expected mortality models and assumption frameworks
  • Use modern data tools (SQL, dbt, Snowflake) and statistical modeling (R or Python)
  • Collaborate with underwriting, data science, and finance teams
  • Fully remote role – US-based, with salary $150K-$266K

DOMAIN EXPERTISE

  • Life insurance mortality modeling
  • Experience studies and assumption setting
  • Underwriting models and protective value studies

KEY REQUIREMENTS

  • FSA or near-FSA, experienced ASA considered
  • 5+ years in life insurance actuarial roles with mortality/underwriting focus
  • Proven ability to translate data into expected mortality outcomes
  • Experience with assumption setting for pricing, forecasting, or valuation
  • Strong statistical modeling skills in R or Python

TECH STACK

  • Excel
  • Snowflake
  • Git_GitHub

Job Overview

Salary
$150k - $266k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An experienced life actuary (near-FSA or FSA) with 5+ years focusing on mortality modeling and underwriting. Strong statistical skills in R/Python and comfort with modern data pipelines; adept at driving insights and collaborating with cross-functional teams to align actuarial rigor with product velocity.

ASAFSA

Benefits

Bonus EligibleEquity/Stock Options
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
$150k - $266k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An experienced life actuary (near-FSA or FSA) with 5+ years focusing on mortality modeling and underwriting. Strong statistical skills in R/Python and comfort with modern data pipelines; adept at driving insights and collaborating with cross-functional teams to align actuarial rigor with product velocity.

ASAFSA

Benefits

Bonus EligibleEquity/Stock Options
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."

Life/Insurtech/IC Level
Ethos Life

Product Performance Actuary

Ethos Life•United States•2h ago
RemoteIndividual Life ProtectionExperience StudiesProduct Development & Plan DesignRegulatory Reporting

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