
51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
🔥 0 minutes ago
🌐 United States, Canada, +1 more countries – Remote
💵 $800 / hour
⏳ Contract/Temporary
🟢 Junior
🟡 Mid-level
📊 Actuary
🚫👨🎓 No degree required
👻 Ghost score 0%
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51 - 200 employees
Founded 2023
🔥 Funding within the last year
💰 $350M Series C - Mercor on 2025-10
Mercor is a company for which no descriptive text was provided in the input. Additional information (products, services, target customers, or industry specifics) is needed to create an accurate summary and select appropriate industries.
• Design realistic 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 • 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
• 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)
• Earn up to $250 for each successful referral • Minimum 20 hours per week (ideally 40+) • Reasonable accommodations upon request
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