Amazon.com Services LLC

Actuary, Data Science, Global Risk Management &Claims

₹ Check with seller / month
📍 Seattle, Washington, United States 💼 Database Administrator ✓ Active
✓ Actively Hiring 📍 Seattle 💼 Full Time
Advertisement
🛡️ Verified Listing
⚡ Direct Apply — No Agent
🔒 Your Data is Safe
⭐ Trusted by 5 Lakh+ Jobseekers

Job at a Glance

Category
Database Administrator
Location
Seattle, Washington, United States
Salary
Check with seller
Job Type
Full Time
Company
Amazon.com Services LLC
Status
Open & Active

Job Description

DESCRIPTION

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 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

PREFERRED QUALIFICATIONS
• 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
Ready to take the next step?

Don't wait — new applications are being reviewed daily.

Apply Now →
Job Safety Alert Real jobs on Jobsiya are always free. Never pay for an interview and never share bank or OTP details. Report this job →