Actuarial Analyst II applying P&C actuarial analysis, data modeling, and analytics to improve TD Insurance claims operations. Supporting strategy, risk management, and customer experience.
About the role
- P&C Actuary and Portfolio Risk Manager designing insurance scenarios and evaluating AI outputs. Training frontier models on pricing, reserving, and portfolio-risk reasoning for a leading AI lab.
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 against structured rubrics for mathematical accuracy, assumption quality, methodology, interpretation, and communication
- Identify calculation errors, unsupported assumptions, misuse of actuarial methods, confusion of correlation with causation, and recommendations not supported by data
- Provide written feedback used by the research team to 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
- Experience performing quantitative analysis using insurance premium, exposure, claim, loss, or reserve data
- Understanding of the difference between account-level underwriting judgment and portfolio-level actuarial analysis
- Ability to explain methods, assumptions, limitations, and business implications clearly to technical and nontechnical audiences
- Strong quantitative reasoning
- Excellent written communication
- High attention to detail
- Proficiency with spreadsheets and at least one analytical or statistical tool
- 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
Benefits
- Minimum 20 hours per week (ideally 40+)
- Role starts immediately
- Reasonable accommodations upon request
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