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Claim Solutions Analyst

Waymo

Claim Solutions Analyst

Waymo

Phoenix, AZ, USA; San Francisco, CA, USA; Mountain View, CA, USA

·

On-site

·

Full-time

·

1w ago

Compensation

$125,000 - $157,000

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

Claims analysis

Claims handling

Investigation

Negotiation

Process documentation

RMIS platforms

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

At Waymo Insurance, you will work on the cutting edge of emerging risk and related issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our legal, public policy, safety, security and privacy experts to evaluate and manage risks for the autonomous driving world to come, advising on insurance trends, evaluating and quantifying product liability, auto, cyber and related risks to ensure we build the appropriate risk and insurance frameworks to support and protect our users around the world. We collaborate with our business development, product partnership, strategy and operations teams in the execution of our business plans to ensure the company's interests are well protected from existing, new and emerging risks. We support the legal, policy and regulatory teams as they optimize our exposure in line with our risk appetite through the review of contracts, evaluation and shaping of emerging law and regulation at both the state and federal level. And we anticipate, quantify and mitigate emerging risk by maintaining active relationships and frequent contact with insurance and AV industry partners.

In this hybrid role, you will report to a Claims Manager within the Risk & Insurance Team

You will:

  • Provide support to the Claim Team through the creation of strategies, tools and processes (documenting all) to handle the unique nature of claims in an autonomous vehicle.

  • Help in executing the long term, innovative vision of the claim process through partnerships, internal stakeholders, and individual effort.

  • Professional interactions with internal stakeholders, helping to drive out requirements and coordinate work between the Claims Team (Risk & Insurance) and those other departments.

  • Support the claim function, in day-to-day claim activities as a resource and SME relative to claim handling, oversight and processes. This may entail both routine and complex claim handling functions - to include, but not be limited to, investigations, issue identifications, negotiations, and claim handling partner oversight.

  • Provide in-depth analysis, trend analysis and report creation to support claim leadership’s analysis of the operation and Waymo exposures.

  • Be the primary point of contact relative to all maintenance, improvements and integrations associated with Waymo’s RMIS platform.

You have:

  • 7+ years insurance claim analyst experience (preferably related to commercial and/or personal auto lines of coverage) and 5+ years experience as a claim handler (preferrably in Auto Liability)

  • Experience working on claim projects and both creating and documenting claim processes but also identifying bottlenecks in processes and being able to escalate and/or provide recommendations for enhancement/improvement.

  • Experience relative to claim handling, to include, but not be limited to the ability to investigate and triage complex claims, with key issue identification skills, and claim evaluation and negotiation skills.

  • Advanced communication skills which are critical to building consensus across areas of influence (external and/or internal relationships), team, and/or matrix environment.

  • The ability to document within different systems, use RMIS platforms, have efficiency within the Google suite of products and effectively write, communicate, track, and document requirements for projects.

We prefer:

  • Experience with US and International markets

  • CPCU, AIC and/or SCLA

  • Bachelors degree

Travel Requirements: Minimal to none

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**$125,000—$157,000 USD**

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About Waymo

Waymo

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

Employees

Mountain View

Headquarters

$200B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.5

Career

3.5

Management

3.5

85%

Recommend to a Friend

Pros

Excellent engineering culture

Interesting technical domain

Elite perception team

Cons

Compensation may not be competitive with other tech companies

Career trajectory concerns

Limited advancement opportunities

Salary Ranges

1,233 data points

Mid/L4

Mid/L4 · Data Scientist

38 reports

$280,748

total / year

Base

$183,551

Stock

$74,549

Bonus

$22,649

$187,768

$434,285

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

Common Questions

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge