AI-Driven Insurance Risk Analyst: Pricing, Reserving & Portfolio

Mercor; Greater London; Remote; GBP 45,000 - 75,000; Part time

Job summary

Mercor is collaborating with a leading AI lab to train frontier models on high‑quality insurance reasoning data. We seek P&C actuaries and portfolio risk managers to design realistic pricing, reserving, forecasting, and portfolio management scenarios, and to evaluate model outputs against actuarial standards.

You will create pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.

Qualifications

• Demonstrate strong quantitative reasoning and communication.
• Experience with insurance data (premium, exposure, claims, reserves).
• Ability to explain methods, assumptions and implications clearly.
• Proficiency with spreadsheets and at least one analysis tool.

Responsibilities

• Design scenarios for pricing, reserving, trend and portfolio concentration.
• Create pricing analyses, reserve reviews, portfolio diagnostics and sensitivity analyses.
• Grade AI-generated actuarial outputs against structured rubrics for accuracy and interpretation.
• Identify errors, unsupported assumptions and misused methods in model outputs.
• Provide written feedback to improve model behavior and participate in onboarding sessions.

Skills

Quantitative analysis

Spreadsheets

Analytical tools

Tools

SQL

R

Python

SAS

Job description

Mercor is collaborating with a leading AI lab to train frontier models on high‑quality insurance reasoning data. We seek P&C actuaries and portfolio risk managers to design realistic pricing, reserving, forecasting, and portfolio management scenarios, and to evaluate model outputs against actuarial standards.

You will create pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.