What You'll Do
- Design realistic scenarios involving loss costs, rate indications, trend, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration
- Create work products such as 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, confusing correlation with causation, and recommendations not supported by the data
- Provide written feedback the research team uses to improve model behavior
- Participate in onboarding office hours and calibration sessions
You're a Good Fit If You
- Have 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
- Are proficient with spreadsheets and at least one analytical or statistical tool
Bonus Qualifications
- 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
Role Highlights
- Minimum 20 hours per week (ideally 40+)
- Role starts immediately, applications reviewed on a rolling basis
- We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Remote Status:
Not specified
Industry:
Data & Analytics
Seniority Level:
Mid-Level