Actuary, Global Risk Management & Claims

Amazon in New York, New York, USA

Industry

Internet / Online Media

Opportunity Type

Full-Time

We are expanding our Global Risk Management & Claims team and insurance program support for Amazon’s growing risk portfolio. This role will partner with our risk managers to develop pricing models, determine rate adequacy, build underwriting and claims dashboards, estimate reserves, and provide other analytical support for financially prudent decision making. As a senior member of the Global Risk Management team, this role will provide actuarial 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 pricing mechanisms for new and existing insurance programs utilizing actuarial skills and training in innovative ways
- Build actuarial forecasts and analyses for businesses under rapid growth, including trend studies, loss distribution analysis, ILF development, and industry benchmarks
- Design actual vs expected and other metrics dashboards to assist decision makings in pricing analysis
- Create processes to monitor loss cost and trends
- Propose and implement loss prevention initiatives with impact on insurance pricing in mind
- Advise underwriting decisions with analysis on driver risk profile
- Support insurance cost budgeting activities
- Collaborate with external vendors and other internal analytics teams to extract insurance insight
- Conduct other ad hoc pricing analyses and risk modeling as needed

A day in the life

Our primary focus is to ensure our stakeholders are enabled to make financially prudent decisions. We provide various actuarial support in pricing, reserving, and modeling on corporate insurance programs. We also partner closely with risk management, finance, accounting, and business analytics to uncover actuarial insights.

On any given day, we could be working on the following:

- Working with risk managers and brokers to determine optimal renewal strategy
- Building processes to monitor program health and trends
- Creating, validating, and testing actuarial models used in pricing, underwriting, and retention strategy
- Establishing data pipelines for new and existing data

About the team

Our team is a small but growing group of actuaries. Our mission is to leverage our technical expertise and industry domain knowledge to empower our stakeholders with actionable insights. We sit within the Global Risk Management and Claims organization and our direct partner teams consist of program and product managers, business analysts, and engineers. As a member of the actuarial team, you will also partner closely with our Corporate Risk Management, Finance, Accounting, and Operations teams to manage the various insurance programs.

We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | New York, NY, USA | Seattle, WA, USA

BASIC QUALIFICATIONS

- Bachelor's degree
- 2+ years of data scientist experience
- 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
- 4+ years of proven, technical experience in Insurance Actuarial (P&C or Health/Benefits)

PREFERRED QUALIFICATIONS

- Associate of the Casualty Actuarial Society
- Prior experience in commercial lines of business
- Prior experience in non-traditional actuarial roles (e.g. ridesharing, InsurTech) and/or a range of traditional roles (e.g. pricing, reserving, modeling, ERM)
- Excellent at explaining actuarial concepts to non-insurance stakeholders
- Comfortable leading complex projects with cross-departmental resources and solving open-ended business problems with innovation
- Experience building new and unique insurance products
- Balance attention to detail with swift execution

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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