AI-Driven Insurance Underwriter – Risk & Reasoning Specialist

Obsidian; Greater London; On-site; GBP 32,000 - 54,000; Full time

Job summary

Mercor is seeking Insurance Underwriting Specialists to design and evaluate underwriting scenarios, assess model outputs, and refine risk- and pricing-related content. The role supports underwriting across life, health, property, casualty, commercial, personal, specialty, marine, and other lines.

You will write gold-standard reference responses, grade AI-generated results, and contribute to calibrating how AI reasons about policy provisions, pricing, and coverage decisions.

Qualifications

• Minimum 2+ years of professional underwriting experience.
• Understand policy provisions, exclusions, endorsements and rating factors.
• Ability to articulate a defensible decision with documented rationale.
• Demonstrate excellent written analysis, balanced judgment and high attention to detail.
• Distinguish underwriting decisions from sales and legal advice.

Responsibilities

• Design underwriting scenarios involving risk selection, pricing, terms and coverage determinations.
• Create work products such as underwriting decisions, analyses, and pricing rationales.
• Write reference responses at experienced underwriting quality.
• Grade AI-generated outputs against rubrics for risk-selection accuracy and pricing.
• Identify misread policy language, flawed classifications, and gaps in rationale.
• Provide written feedback to the research team for model improvement.
• Participate in onboarding hours and calibration sessions.

Skills

Underwriting

Risk analysis

Written communication

Judgment

Attention to detail

Job description

Mercor is seeking Insurance Underwriting Specialists to design and evaluate underwriting scenarios, assess model outputs, and refine risk- and pricing-related content. The role supports underwriting across life, health, property, casualty, commercial, personal, specialty, marine, and other lines.

You will write gold-standard reference responses, grade AI-generated results, and contribute to calibrating how AI reasons about policy provisions, pricing, and coverage decisions.