Role Summary

HIGHLIGHTS

Senior P&C actuarial predictive modeling role focused on pricing segmentation and lifetime value. You will build, deploy and govern loss cost, acquisition, retention and conversion models to support pricing and rate filings. Senior-level role working cross-functionally with Actuarial, Product, Underwriting and IT in the US.

JOB DESCRIPTION SUMMARY

Build and maintain predictive pricing and segmentation models for P&C products
Develop loss cost, acquisition, retention and conversion models end-to-end
Partner with Product, Underwriting, Actuarial and IT to support rate filings
Strong SQL required; Python preferred for model development
Senior role with mentoring responsibilities and 4–6 years insurance modeling experience

DOMAIN EXPERTISE

Predictive modeling in an insurance environment
Pricing segmentation and lifetime value modelling
Loss cost, acquisition, retention and conversion modelling
Implementing predictive models into production
SQL for data extraction and analysis

KEY REQUIREMENTS

4+ years building and deploying predictive models in an insurance environment
Bachelor’s degree in Actuarial, Statistics, Data Science or equivalent required
Strong SQL skills required; Python strongly preferred
Experience with loss cost, acquisition, retention or conversion models
Actuarial background preferred (ACAS preferred)

TECH STACK

No tech stack specified

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build and maintain predictive pricing and segmentation models for P&C products
Develop loss cost, acquisition, retention and conversion models end-to-end
Partner with Product, Underwriting, Actuarial and IT to support rate filings
Strong SQL required; Python preferred for model development
Senior role with mentoring responsibilities and 4–6 years insurance modeling experience

DOMAIN EXPERTISE

Predictive modeling in an insurance environment
Pricing segmentation and lifetime value modelling
Loss cost, acquisition, retention and conversion modelling
Implementing predictive models into production
SQL for data extraction and analysis

KEY REQUIREMENTS

4+ years building and deploying predictive models in an insurance environment
Bachelor’s degree in Actuarial, Statistics, Data Science or equivalent required
Strong SQL skills required; Python strongly preferred
Experience with loss cost, acquisition, retention or conversion models
Actuarial background preferred (ACAS preferred)

TECH STACK

No tech stack specified

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build and maintain predictive pricing and segmentation models for P&C products
Develop loss cost, acquisition, retention and conversion models end-to-end
Partner with Product, Underwriting, Actuarial and IT to support rate filings
Strong SQL required; Python preferred for model development
Senior role with mentoring responsibilities and 4–6 years insurance modeling experience