AI-Driven P&C Underwriter & Risk Specialist

Mercor

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+
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Job summary

Mercor, partnering with a leading AI lab, seeks Multiline Property & Casualty Underwriters to design underwriting scenarios, evaluate model outputs, and shape AI reasoning about insurability, pricing, coverage terms and portfolio fit.

Ideal candidates have direct authority or meaningful responsibility for risk evaluation and a track record across personal, commercial, or specialty P&C products. Roles involve working with the research team and cross-functional collaborators.

Qualifications

  • 2+ years of professional P&C underwriting experience.
  • Underwritten at least one major segment (personal, commercial property, GL, cyber, etc.).
  • Understand the underwriting lifecycle from submission to renewal and nonrenewal.
  • Explain how account characteristics, jurisdiction, peril, loss history and market conditions affect decisions.
  • Strong written reasoning and risk judgment with high attention to detail.

Responsibilities

  • Design realistic underwriting scenarios for new business, renewals, exposure analysis, loss history and pricing decisions.
  • Create underwriting assessments, quote rationales, information requests, declination explanations and renewal strategies.
  • Write reference responses at experienced underwriter quality.
  • Grade AI-generated responses for technical accuracy and adherence to guidelines.
  • Identify unsupported assumptions, poor risk differentiation, and incorrect policy term usage.
  • Provide written feedback to the research team to improve model behavior.
  • Participate in onboarding office hours and calibration sessions.

Skills

P&C underwriting
Risk judgment
Attention to detail
Underwriting lifecycle

Job description

Mercor, partnering with a leading AI lab, seeks Multiline Property & Casualty Underwriters to design underwriting scenarios, evaluate model outputs, and shape AI reasoning about insurability, pricing, coverage terms and portfolio fit.

Ideal candidates have direct authority or meaningful responsibility for risk evaluation and a track record across personal, commercial, or specialty P&C products. Roles involve working with the research team and cross-functional collaborators.

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