Pricing Analyst

Inshur
Remote

About The Position

INSHUR is an embedded insurance powerhouse for the on-demand world, partnering with companies like Uber and Amazon to provide coverage for the modern workforce. They are a global company with a presence in the UK, US, and Netherlands, utilizing AI to stay ahead. This role is for a Pricing Analyst Contractor for approximately a 3-month contract, with the possibility of part-time work (around 20 hours per week). The position involves owning the bespoke risk assessment and experience rating for large commercial auto accounts in the US market, collaborating with the Pricing and Underwriting teams to ensure accurate and competitive pricing as the company expands into new states. The role requires diving into imperfect data, analyzing loss trends, and upgrading large account pricing tools. Candidates can work remotely from anywhere in the US or the UK.

Requirements

  • Hands-on experience conducting bespoke risk assessments and experience rating for large commercial accounts (commercial auto or general liability preferred).
  • Comfortable working independently with imperfect data—cleaning, prepping, and finding the signal in the noise.
  • Track record of partnering effectively with underwriters to translate risk into numbers.
  • Ability to build, modify, and improve complex pricing templates using Advanced Excel.

Nice To Haves

  • Experience pulling and querying data using SQL to support your analysis.

Responsibilities

  • Deliver bespoke experience rating and pricing for high-value commercial auto submissions (typically $500k+ in premium).
  • Partner directly with underwriters to evaluate unique risk characteristics and ensure they are accurately reflected in the final price.
  • Take ownership of our large account pricing template, refining its capabilities and improving the underlying assumptions based on deep-dive analysis.
  • Leverage internal data and industry benchmarks to conduct thorough loss trend analyses that inform our strategic direction.
  • Independently manage, clean, and extract value from data sets that are "not perfect," turning raw information into actionable pricing models.
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