Manager, Actuarial Data Science at Hippo Insurance

Hippo

Hybrid

Quick summary

Work type
Hybrid
Location
Dallas, TXAustin, TXMorristown, NJSan Jose, CA
Salary
$185,000–$245,000 / yr
Posted
5 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $215k
$160k most similar roles pay here $255k

This role pays more than 62% of similar roles. Most pay $169,248–$246,150 — the shaded band above. At the midpoint, this role pays about $215k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Hippo

Hippo Insurance is a home insurance company that offers proactive home insurance products using smart home technology and data to help homeowners prevent claims before they happen. Industry: Insurance Technology & Homeowners Insurance

Hippo currently has 9 open roles on FindRole.

Listed pay typically runs $159,000–$245,000 across 5 roles with salary data.

Most-posted roles

View all roles at Hippo

At a glance

TL;DR · Manager, Actuarial Data Science at Hippo Insurance

Join Hippo as a Manager in Actuarial Data Science, leading an insurance modeling team focused on developing pricing, underwriting, and growth models for the Homeowners program. You will build advanced Python and SQL-based tooling to enhance efficiency and scalability across actuarial workflows while collaborating closely with Pricing, Underwriting, Claims, Product, and Data Engineering teams. Ideal candidates have 7+ years of data science or actuarial modeling experience in personal lines P&C insurance, along with strong people management skills and proficiency in Python, SQL, and Git. Experience in loss cost modeling and catastrophe risk is a plus, as you will design and implement robust models within Hippo’s Airflow-based pipeline to drive business impact.

What you'll do

  • Lead the development and annual build of by-peril loss models.
  • Expand modeling capabilities for conversion, retention, and aggregation to inform pricing strategy.
  • Implement and scale insurance models within Python-based pipelines for robust testing and validation.
  • Develop reusable analytical tooling in Python and SQL to improve efficiency across actuarial teams.
  • Partner with cross-functional teams to translate complex modeling insights into clear business recommendations.

What we're looking for

  • 7+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
  • Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
  • Advanced proficiency in Python and SQL with experience using Git
  • Strong experience in loss cost modeling and exposure to demand, underwriting, and claims modeling
  • 3+ years of people management experience including coaching and performance development
  • Knowledge of actuarial principles related to insurance pricing

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