Role Summary

HIGHLIGHTS

Senior actuarial and data science role within Amazon's Global Risk Management & Claims team, based in New York City. You will build underwriting and claims models, determine rate and reserve adequacy, and develop cloud-based analytical tools to support Amazon's worldwide risk portfolio. The role requires deep data science expertise and collaboration with risk management, claims, and external vendors.

JOB DESCRIPTION SUMMARY

Build underwriting and claims models for Amazon's global risk portfolio
Determine rate adequacy, reserve adequacy, and loss cost forecasts
Develop cloud-based modeling tools using Python, SQL, and ML/statistical techniques
Collaborate with risk management, claims, and external vendors
Base salary $153,400â$207,500 (NYC) plus sign-on, RSUs, and benefits

DOMAIN EXPERTISE

Insurance risk modeling and analytics
Loss distribution analysis and trend studies
Rate and reserve adequacy determination
Machine learning and statistical model development

KEY REQUIREMENTS

3+ years of SQL, Python, R, SAS, or similar
2+ years of data scientist experience
3+ years of machine learning/statistical modeling
Bachelor's degree required
Experience applying theoretical models in an applied environment

TECH STACK

Excel

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build underwriting and claims models for Amazon's global risk portfolio
Determine rate adequacy, reserve adequacy, and loss cost forecasts
Develop cloud-based modeling tools using Python, SQL, and ML/statistical techniques
Collaborate with risk management, claims, and external vendors
Base salary $153,400â$207,500 (NYC) plus sign-on, RSUs, and benefits

DOMAIN EXPERTISE

Insurance risk modeling and analytics
Loss distribution analysis and trend studies
Rate and reserve adequacy determination
Machine learning and statistical model development

KEY REQUIREMENTS

3+ years of SQL, Python, R, SAS, or similar
2+ years of data scientist experience
3+ years of machine learning/statistical modeling
Bachelor's degree required
Experience applying theoretical models in an applied environment

TECH STACK

Excel

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Build underwriting and claims models for Amazon's global risk portfolio
Determine rate adequacy, reserve adequacy, and loss cost forecasts
Develop cloud-based modeling tools using Python, SQL, and ML/statistical techniques
Collaborate with risk management, claims, and external vendors
Base salary $153,400â$207,500 (NYC) plus sign-on, RSUs, and benefits