Closer to a data-science crossover than a conventional portfolio-manager role because actuarial judgment is used to train and evaluate AI systems rather than manage a live book.
Titled above the requirements. The title includes “Portfolio Risk Manager,” but the role is classified at Associate level, asks for 2+ years, and does not require people management or formal portfolio sign-off.
Associate-level P&C actuarial and portfolio risk role for a US-based AI training project. You’ll create pricing, reserving, forecasting, capital, and portfolio-risk scenarios; write reference answers; and assess AI outputs against actuarial standards. The role is offered at $80 per hour, with a minimum commitment of 20 hours per week and 40+ hours preferred.
Requirements
Strongly preferred
2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, or portfolio risk management
Have performed quantitative analysis using insurance premium, exposure, claim, loss, or reserve data
Understand the difference between account-level underwriting judgment and portfolio-level actuarial analysis
Can explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences
Demonstrate strong quantitative reasoning, excellent written communication, and high attention to detail
Proficient with spreadsheets and at least one analytical or statistical tool
Nice to have
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
Skills & Domain
ToolsExcelPowerPoint
DomainP&C actuarial workInsurance pricing or reservingCatastrophe modelingPortfolio risk management
