Role Summary

HIGHLIGHTS

Senior P&C role at an insurtech focused on commercial trucking (New York). You will own end-to-end reserving in Python and build predictive telematics-driven models to influence pricing, cancellation strategy, and large-loss detection for underwriting and growth.

JOB DESCRIPTION SUMMARY

Own and enhance Python-based reserving models for commercial trucking
Build and deploy telematics-driven predictive models for pricing and risk selection
Develop large-loss detection models using claims notes and historical data
Design dynamic pricing frameworks informed by live portfolio data
Work on automated analytical pipelines and carrier-level reporting

DOMAIN EXPERTISE

Insurance analytics or actuarial modeling experience
Actuarial reserving models or insurance forecasting methodologies
Telematics and claims data predictive modeling
Dynamic pricing and cancellation strategy design
Building production-grade models with large datasets

KEY REQUIREMENTS

Experience with insurance analytics or actuarial reserving models
Strong Python proficiency for statistical modeling
Strong SQL and experience with large-scale datasets
Experience building production-grade predictive or ML models
Authorized to work in the U.S. without visa sponsorship

TECH STACK

No tech stack specified

Back to Search

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Own and enhance Python-based reserving models for commercial trucking
Build and deploy telematics-driven predictive models for pricing and risk selection
Develop large-loss detection models using claims notes and historical data
Design dynamic pricing frameworks informed by live portfolio data
Work on automated analytical pipelines and carrier-level reporting

DOMAIN EXPERTISE

Insurance analytics or actuarial modeling experience
Actuarial reserving models or insurance forecasting methodologies
Telematics and claims data predictive modeling
Dynamic pricing and cancellation strategy design
Building production-grade models with large datasets

KEY REQUIREMENTS

Experience with insurance analytics or actuarial reserving models
Strong Python proficiency for statistical modeling
Strong SQL and experience with large-scale datasets
Experience building production-grade predictive or ML models
Authorized to work in the U.S. without visa sponsorship

TECH STACK

No tech stack specified

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Own and enhance Python-based reserving models for commercial trucking
Build and deploy telematics-driven predictive models for pricing and risk selection
Develop large-loss detection models using claims notes and historical data
Design dynamic pricing frameworks informed by live portfolio data
Work on automated analytical pipelines and carrier-level reporting