Role Summary

HIGHLIGHTS

Manager-level P&C pricing role focused on cyber, Tech E&O and miscellaneous professional liability. Lead end-to-end pricing projects, build rate indications and forecasting analyses, and collaborate with underwriting, product and reinsurance teams. Based in New York, NY, reporting to the Actuarial Pricing Director.

JOB DESCRIPTION SUMMARY

Lead end-to-end pricing initiatives and new product launches
Develop rate indications, trend premiums, losses and expenses using statistical techniques
Collaborate with Underwriting, Product, Claims and Decision Engine teams
Hands-on operational role reviewing submissions, quotes and binds
Excel and SQL required; Python/R strongly preferred

DOMAIN EXPERTISE

P&C pricing experience
Pricing project end-to-end leadership
Rate indication and trending experience

KEY REQUIREMENTS

6+ years of P&C pricing experience in insurance/tech/insurtech/consulting
ACAS or FCAS certification required
1+ years in a direct managerial, team lead, or mentorship capacity
Hands-on Excel and SQL required; Python or R strongly preferred

TECH STACK

Excel
PowerPoint

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead end-to-end pricing initiatives and new product launches
Develop rate indications, trend premiums, losses and expenses using statistical techniques
Collaborate with Underwriting, Product, Claims and Decision Engine teams
Hands-on operational role reviewing submissions, quotes and binds
Excel and SQL required; Python/R strongly preferred

DOMAIN EXPERTISE

P&C pricing experience
Pricing project end-to-end leadership
Rate indication and trending experience

KEY REQUIREMENTS

6+ years of P&C pricing experience in insurance/tech/insurtech/consulting
ACAS or FCAS certification required
1+ years in a direct managerial, team lead, or mentorship capacity
Hands-on Excel and SQL required; Python or R strongly preferred

TECH STACK

Excel
PowerPoint

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead end-to-end pricing initiatives and new product launches
Develop rate indications, trend premiums, losses and expenses using statistical techniques
Collaborate with Underwriting, Product, Claims and Decision Engine teams
Hands-on operational role reviewing submissions, quotes and binds
Excel and SQL required; Python/R strongly preferred