About the RoleMercor is partnering with a leading AI lab to train frontier models on high-quality insurance reasoning data. We're hiring P&C Actuaries and Portfolio Risk Managers to design realistic pricing, reserving, forecasting, and portfolio-management scenarios, evaluate model outputs against established actuarial standards, and help shape how the next generation of AI reasons quantitatively about insurance risk.We welcome pricing actuaries, reserving actuaries, portfolio analysts, catastrophe-risk professionals, and actuarial managers from carriers, reinsurers, MGAs, and consulting firms.What You'll DoDesign realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentrationCreate work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendationsWrite "golden" reference responses at experienced actuarial and portfolio-risk qualityGrade AI-generated responses against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communicationIdentify calculation errors, unsupported assumptions, misuse of actuarial methods, confusing correlation with causation,



and recommendations not supported by the dataProvide written feedback the research team uses to improve model behaviorParticipate in onboarding office hours and calibration sessionsYou're a Good Fit If YouHave 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk managementHave performed quantitative analysis using insurance premium, exposure, claim, loss, or reserve dataUnderstand the difference between account-level underwriting judgment and portfolio-level actuarial analysisCan explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiencesDemonstrate robust quantitative reasoning, excellent written communication, and high attention to detailAre proficient with spreadsheets and at least one analytical or statistical toolBonus QualificationsACAS, FCAS, or active progress toward CAS credentialsExperience with personal, commercial, specialty, or reinsurance portfoliosCatastrophe modeling, capital modeling, predictive modeling, or rate-filing experienceProficiency with SQL, R, Python, SAS, or actuarial modeling platformsExperience presenting results to underwriting, finance, claims, or executive stakeholdersRole HighlightsMinimum 20 hours per week (ideally 40+)Role starts immediately, applications reviewed on a rolling basis

📌 Insurance Risk Analyst - Fully Remote (Mississauga)
🏢 Mercor
📍 Mississauga