P&C actuary creating pricing, reserving, and portfolio-risk scenarios for Mercor’s AI-lab partner. Evaluating AI outputs against actuarial standards and providing calibration feedback.
Responsibilities
Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration
Write “golden” reference responses at experienced actuarial and portfolio-risk quality
Grade AI-generated responses for mathematical accuracy, assumption quality, methodology, interpretation, and communication
Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusion of correlation with causation, and unsupported recommendations
Provide written feedback to help the research team improve model behavior
Participate in onboarding office hours and calibration sessions
Requirements
2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management
Quantitative analysis using insurance premium, exposure, claim, loss, or reserve data
Understanding of account-level underwriting judgment versus portfolio-level actuarial analysis
Ability to explain methods, assumptions, limitations, and business implications 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
ACAS, FCAS, or active progress toward CAS credentials (bonus qualification)
Experience with personal, commercial, specialty, or reinsurance portfolios (bonus qualification)
Experience with catastrophe modeling, capital modeling, predictive modeling, or rate-filing (bonus qualification)
Proficiency with SQL, R, Python, SAS, or actuarial modeling platforms (bonus qualification)
Experience presenting results to underwriting, finance, claims, or executive stakeholders (bonus qualification)
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