Risk Analyst

Slate Auto
1dRemote

About The Position

At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them. We are seeking a Risk Analyst to help run the day-to-day operating system for Slate’s risk management and corporate insurance program. This role owns key workflows that keep the company protected and compliant: vendor/contractor COI compliance, claims intake and tracking, exposure data quality, and the reporting and systems infrastructure that support renewals and underwriting submissions. You’ll partner closely with the Risk Manager (Head of Insurance), Legal, Purchasing, EHS, Finance, brokers, and carriers to keep information accurate, timely, and auditable as Slate scales.

Requirements

  • 3–5 years of experience in commercial insurance, brokerage, claims, or an in-house risk management function.
  • Working knowledge of commercial lines such as CGL, auto, workers’ compensation, product liability, property, and umbrella/excess.
  • Strong Excel skills (pivots, lookups, data cleaning); comfort working with imperfect datasets and building reliable outputs.
  • Systems orientation: experience with RMIS, claims platforms, ticketing tools (Jira or similar), and process automation is a plus.
  • Strong written and verbal communication; able to be crisp, organized, and persistent with internal and external partners.
  • High attention to detail and good judgment handling confidential/sensitive information.

Nice To Haves

  • Familiarity with AI-assisted document review, workflow automation, or low-code tools.
  • Certifications (CPCU/ARM/CRM/AIC) a plus, not required.
  • Auto/manufacturing experience a plus, not required.

Responsibilities

  • COI Compliance and Contract Support Operate Slate’s COI compliance program end-to-end: intake, validation, renewals, and escalation.
  • Maintain and apply a COI requirements matrix by vendor/contractor category (limits, endorsements, wording) and manage an exception/waiver log.
  • Coordinate with brokers and vendors to obtain compliant COIs and required endorsements; follow up until resolved.
  • Perform first-pass screening of insurance requirements in contracts (MSAs/SOWs/leases/vendor agreements), flag gaps, and route exceptions to Legal/Risk Manager with clear summaries.
  • Execute weekly pre-pay-run COI reviews against the unpaid invoice report; block payments for noncompliant vendors and document holds and resolutions.
  • Claims Operations and Analytics Support claims operations across workers' compensation and products liability as those programs scale, including intake documentation, adjuster and broker coordination, diary management, reserves tracking, and internal status reporting.
  • Build and maintain loss runs and claims dashboards; identify trends and support root-cause reviews with EHS/Ops/Legal.
  • Support audits (WC, GL, auto, property) and provide clean, consistent claim/exposure data as needed.
  • Insurance Data, Renewals, and Reporting Own the exposure data pipeline for renewal submissions, ensuring the Risk Manager has clean, auditable datasets on the renewal timeline.
  • Maintain policy documentation, endorsements, schedules, and historical records; ensure data is complete and easy to audit.
  • Maintain the property statement of values (SOV) and coordinate updates/endorsement follow-through as locations and assets change.
  • Produce recurring executive-ready reporting (KPIs, compliance rates, claims trends, renewal readiness).
  • Systems, AI, and Automation Administer risk/insurance systems (RMIS or equivalent) and act as the data steward for risk and insurance information.
  • Help design and automate workflows and reporting (e.g., COI intake → ticketing → exception tracking → dashboard).
  • Identify manual, error-prone processes and propose improvements that increase scalability, accuracy, and cycle time performance.
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