Pricing Actuary

Inshur

2d • Remote

About The Position

INSHUR is an AI-powered, embedded insurance powerhouse for the on-demand world, partnering with companies like Uber and Amazon to provide modern workforce coverage. They are a global company with a presence in the UK, US, and Netherlands, employing around 200 people. This role is a ~3-month contract position, open to part-time (~20 hours/week), and is remote within the US or UK. The Pricing Actuary will be responsible for 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 involves analyzing imperfect data, loss trends, and upgrading large account pricing tools.

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 analysis.
• Actuarial credentials (FCAS/ACAS) are welcome but not strictly required.

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 the 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 strategic direction.
• Independently manage, clean, and extract value from data sets that are "not perfect," turning raw information into actionable pricing models.

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed