Role Summary

HIGHLIGHTS

P&C-focused actuarial analytics role supporting a Technology Risk brokering team in San Francisco. You'll build predictive models, perform bespoke actuarial research, validate data, and act as the liaison between account teams and internal analytics partners. Mid-level role requiring 4–6 years of insurance analytics experience and strong Python/SQL skills.

JOB DESCRIPTION SUMMARY

Perform bespoke analytics and actuarial research for technology risk exposures
Build predictive models and translate complex data into stakeholder-ready insights
Serve as primary liaison between account team and internal analytics partners
Ensure data completeness and lead data validation and preparation processes
San Francisco-based, office-forward role with occasional travel

DOMAIN EXPERTISE

Insurance analytics or data analysis in the insurance industry
Understanding of insurance concepts including supply/demand and loss components
Data quality assurance and validation methodologies
Proficiency with Excel, SQL, and Python

KEY REQUIREMENTS

4–6 years of insurance analytics or data analysis experience
Bachelor’s degree in Actuarial Science, Analytics, Statistics, or related
Proficiency in Excel, SQL, and Python
Experience with data quality assurance and validation methodologies
Strong knowledge of fundamental insurance concepts and loss components

TECH STACK

Excel
Tableau
Power_BI
PowerPoint

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Perform bespoke analytics and actuarial research for technology risk exposures
Build predictive models and translate complex data into stakeholder-ready insights
Serve as primary liaison between account team and internal analytics partners
Ensure data completeness and lead data validation and preparation processes
San Francisco-based, office-forward role with occasional travel