Actuary, Data Science, Global Risk Management &Claims

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

61% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Actuary, Data Science, Global Risk Management &Claims Seattle, Washington, USA 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 Basic Qualifications: - 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

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