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Role Summary

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HIGHLIGHTS

Actuarial Data Scientist role at Fetch Pet Insurance, a high-growth pet insurer. You will apply predictive analytics to improve pricing models, build performance monitoring tools, and support rate filings. This is a remote US position roughly split between modeling and traditional actuarial work. Ideal for an ACAS with 5+ years of P&C/Health insurance experience.

JOB DESCRIPTION SUMMARY

  • Develop price elasticity curves and lifetime value models
  • Build GLM-based rating factors in R or Python
  • Monitor rating plan performance (loss ratio, conversion, churn)
  • Support rate filings and regulatory responses
  • Remote role – US-based, open to P&C/Health actuaries

DOMAIN EXPERTISE

  • P&C or health insurance ratemaking
  • GLM-based pricing model development
  • Price elasticity and customer lifetime value analysis
  • Rate filings and regulatory responses

KEY REQUIREMENTS

  • ACAS (or ASA working in health insurance) required
  • 5+ years in actuarial/data science (P&C or Health)
  • 2+ years in ratemaking or pricing modeling
  • Advanced SQL, R/Python, GLMs required
  • Eligible to work in the US without sponsorship

TECH STACK

  • Excel
  • Power_BI
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Role Summary

Loading...

HIGHLIGHTS

Actuarial Data Scientist role at Fetch Pet Insurance, a high-growth pet insurer. You will apply predictive analytics to improve pricing models, build performance monitoring tools, and support rate filings. This is a remote US position roughly split between modeling and traditional actuarial work. Ideal for an ACAS with 5+ years of P&C/Health insurance experience.

JOB DESCRIPTION SUMMARY

  • Develop price elasticity curves and lifetime value models
  • Build GLM-based rating factors in R or Python
  • Monitor rating plan performance (loss ratio, conversion, churn)
  • Support rate filings and regulatory responses
  • Remote role – US-based, open to P&C/Health actuaries

DOMAIN EXPERTISE

  • P&C or health insurance ratemaking
  • GLM-based pricing model development
  • Price elasticity and customer lifetime value analysis
  • Rate filings and regulatory responses

KEY REQUIREMENTS

  • ACAS (or ASA working in health insurance) required
  • 5+ years in actuarial/data science (P&C or Health)
  • 2+ years in ratemaking or pricing modeling
  • Advanced SQL, R/Python, GLMs required
  • Eligible to work in the US without sponsorship

TECH STACK

  • Excel
  • Power_BI

Actuarial Data Scientist

Fetch Pet Insurance

P&C/Insurer/IC Level
Fetch Pet Insurance

Actuarial Data Scientist

Fetch Pet Insurance
United States•1h ago
RemotePersonal Other

Job Overview

Salary
$150k - $160k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ACAS with 5+ years in P&C/Health insurance pricing, strong GLM modeling skills in R or Python, and a data-science mindset. Comfortable working remotely in a lean team and wearing multiple hats.

ACAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanHigh 401(k) MatchGenerous VacationBonus EligibleTuition ReimbursementCommuter BenefitsRemote First
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 - $160k
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for an ACAS with 5+ years in P&C/Health insurance pricing, strong GLM modeling skills in R or Python, and a data-science mindset. Comfortable working remotely in a lean team and wearing multiple hats.

ACAS

Benefits

Health InsuranceDental InsuranceVision Insurance401(k) PlanHigh 401(k) MatchGenerous VacationBonus EligibleTuition ReimbursementCommuter BenefitsRemote First
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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