P&C Actuary & Portfolio Risk Manager

Role Overview

Help train advanced AI systems to reason rigorously about insurance risk by creating and evaluating realistic property and casualty pricing, reserving, forecasting, and portfolio-management work.

Key Responsibilities

• Design scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
• Create pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.
• Develop high-quality reference responses at an experienced actuarial and portfolio-risk standard.
• Evaluate AI-generated work using structured rubrics for mathematical accuracy, assumptions, methodology, interpretation, and communication.
• Identify calculation errors, unsupported assumptions, inappropriate actuarial methods, confusion of correlation and causation, and recommendations unsupported by data.
• Provide written feedback to improve model behavior.
• Participate in onboarding office hours and calibration sessions.

Qualifications

• At least 2 years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
• Experience performing quantitative analysis with insurance premium, exposure, claim, loss, or reserve data.
• Understanding of the distinction between account-level underwriting judgment and portfolio-level actuarial analysis.
• Ability to clearly explain methods, assumptions, limitations, and business implications to technical and nontechnical audiences.
• Strong quantitative reasoning, written communication, attention to detail, spreadsheet proficiency, and proficiency with at least one analytical or statistical tool.

Preferred Qualifications

• ACAS, FCAS, or active progress toward CAS credentials.
• Experience with personal, commercial, specialty, or reinsurance portfolios.
• Experience in catastrophe modeling, capital modeling, predictive modeling, or rate filing.
• Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms.
• Experience presenting results to underwriting, finance, claims, or executive stakeholders.

Work Terms

• Remote hourly engagement for candidates located in the United States, Canada, or the United Kingdom.
• Minimum commitment of 20 hours per week, with 40 or more hours preferred.
• The role starts immediately, and applications are reviewed on a rolling basis.
• Onboarding is estimated to take approximately 10 hours and includes office hours and calibration sessions.

Compensation

• A flat $800 is paid upon successful completion of onboarding.
• After successful onboarding, compensation converts to $80 per hour.