Analyste principal(e) transformant les données d’assurance en modèles, analyses et recommandations. Soutien aux équipes d’indemnisation, de souscription et aux partenaires d’affaires de Promutuel Assurance.
About the role
- 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
- 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
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)
Benefits
- Earn up to $250 for each successful referral
- Minimum 20 hours per week (ideally 40+)
- Reasonable accommodations upon request
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