Actuary, Data Science, Global Risk Management &Claims
Amazon
6 days ago
Full-time
On-site
Seattle, Washington, United States
Data Science & Analytics
We are expanding our Global Risk Management & Claims team and insurance program support for Amazon’s growing risk portfolio. This role will partner with a wide range of stakeholders to build underwriting and claims models, determine rate and reserve adequacy, build cloud-based modeling tools, and provide other analytical support for financially prudent decision making. As a member of the Global Risk Management team, this role will provide actuarial and data science support for Amazon’s worldwide operation.
Key job responsibilities
● Collaborate with risk management and claims team to identify insurance gaps, propose solutions, and measure impacts insurance brings to the business
● Develop models for new and existing insurance programs utilizing actuarial and data science techniques in innovative ways
● Build forecasts and analyses for businesses under rapid growth, including trend studies, loss distribution analysis, ILF development, and industry benchmarks
● Create processes to monitor loss cost and trends
● Propose and implement loss prevention initiatives with impact on insurance costs in mind
● Advise underwriting decisions with analysis on exposure risk profile
● Support insurance cost budgeting activities
● Collaborate with external vendors and other internal science teams to extract insurance insight
● Conduct other ad hoc analyses and risk modeling as needed
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, NY, New York - 153,400.00 - 207,500.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Key job responsibilities
● Collaborate with risk management and claims team to identify insurance gaps, propose solutions, and measure impacts insurance brings to the business
● Develop models for new and existing insurance programs utilizing actuarial and data science techniques in innovative ways
● Build forecasts and analyses for businesses under rapid growth, including trend studies, loss distribution analysis, ILF development, and industry benchmarks
● Create processes to monitor loss cost and trends
● Propose and implement loss prevention initiatives with impact on insurance costs in mind
● Advise underwriting decisions with analysis on exposure risk profile
● Support insurance cost budgeting activities
● Collaborate with external vendors and other internal science teams to extract insurance insight
● Conduct other ad hoc analyses and risk modeling as needed
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 153,400.00 - 207,500.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually