P&C Actuary: AI-Driven Pricing & Portfolio Risk

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

Job summary

Obsidian is seeking experienced actuarial professionals to help train frontier AI models on insurance risk data. The role spans pricing, reserving, catastrophe modeling, and portfolio management, with emphasis on quantitative analysis and clear communication to diverse stakeholders.

You’ll design realistic scenarios, review model outputs, and provide feedback to improve AI reasoning in insurance contexts. The work starts immediately and offers flexible hours for part-time commitment.

Qualifications

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

Responsibilities

• Design pricing, reserving, trend, and portfolio scenarios for AI training data.
• Create analyses and reviews: pricing analyses, reserve reviews, portfolio diagnostics, sensitivity analyses, and management recommendations.
• Provide written feedback to improve model behavior and interpretation of results.
• Grade AI-generated responses for accuracy, methodology, and data support.
• Participate in onboarding and calibration sessions.

Skills

P&C actuarial work

Insurance pricing

Reserving

Portfolio risk management

Quantitative analysis

Communication

Education

ACAS/FCAS or CAS progress

Tools

SQL

R

Python

SAS

Actuarial modeling platforms

Job description

Obsidian is seeking experienced actuarial professionals to help train frontier AI models on insurance risk data. The role spans pricing, reserving, catastrophe modeling, and portfolio management, with emphasis on quantitative analysis and clear communication to diverse stakeholders.

You’ll design realistic scenarios, review model outputs, and provide feedback to improve AI reasoning in insurance contexts. The work starts immediately and offers flexible hours for part-time commitment.