P&C Actuary - Risk Management - AI Trainer

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: P&C Actuary & Portfolio Risk Manager
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week

Role 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 "golden" reference responses at experienced actuarial and portfolio-risk quality.
• Grade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication.
• Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation, and recommendations not supported by the data.
• Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

• 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management.
• Experience in 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 quantitative reasoning, excellent written communication, and high attention to detail.
• Proficiency with spreadsheets and at least one analytical or statistical tool.

Preferred

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

Start Date

• Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.