Actuary, Data Science, Global Risk Management &Claims

Requirements

• 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.
• USA, NY, New York - 153,400.00 - 207,500.00 USD annually
• USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

Additional Information

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

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