P&C Actuary & Portfolio Risk Analyst — AI-Powered Pricing

Mercor; New York (NY); On-site; USD 80,000 - 130,000; Part time

Job summary

Mercor partners with a leading AI lab to train frontier models on insurance reasoning data. The team is hiring P&C Actuaries and Portfolio Risk Managers to design pricing, reserving, forecasting, and portfolio-management scenarios, and to evaluate model outputs for actuarial standards.

Ideal candidates have 2+ years of P&C actuarial experience, are proficient with spreadsheets and analytics tools, and can clearly communicate methods and business implications to technical and nontechnical

Qualifications

• 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
• Able to perform quantitative analysis using insurance premium, exposure, claim, loss, or reserve data.
• Able to explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences.
• Demonstrate strong written communication and high attention to detail.

Responsibilities

• Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
• Create work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.
• Write evaluation responses at experienced actuarial and portfolio-risk quality.
• Grade AI-generated responses against structured rubrics for mathematical accuracy and interpretation.

Skills

Actuarial analysis

Quantitative reasoning

Communication

Spreadsheet proficiency

Data interpretation

Tools

SQL

R

Python

SAS

Job description

Mercor partners with a leading AI lab to train frontier models on insurance reasoning data. The team is hiring P&C Actuaries and Portfolio Risk Managers to design pricing, reserving, forecasting, and portfolio-management scenarios, and to evaluate model outputs for actuarial standards.

Ideal candidates have 2+ years of P&C actuarial experience, are proficient with spreadsheets and analytics tools, and can clearly communicate methods and business implications to technical and nontechnical