P&C Actuary & Portfolio Risk Manager in Canada Creek, Nova Scotia at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a P&C Actuary & Portfolio Risk Manager based in Canada.

This is an opportunity to apply your insurance expertise to the development and evaluation of next-generation AI systems.
You will design realistic property and casualty insurance scenarios spanning pricing, reserving, forecasting, and portfolio risk.
Your actuarial judgment will help establish high-quality reference answers and rigorous evaluation standards.
You will assess AI-generated analyses for mathematical accuracy, assumptions, methodology, and business relevance.
The role offers exposure to complex insurance problems across carriers, reinsurers, MGAs, and consulting environments.
You will work closely with a research team, providing detailed feedback that directly improves model performance.
The position is well suited to experienced insurance professionals who enjoy quantitative problem-solving and independent, intellectually challenging work.

• Design realistic P&C insurance scenarios covering loss costs, rate indications, trends, development, credibility, segmentation, reserving, profitability, capital, catastrophe exposure, and portfolio concentration.
• Develop high-quality work products such as pricing analyses, reserve reviews, portfolio diagnostics, assumption critiques, sensitivity analyses, and management recommendations.
• Produce “golden” reference responses that reflect experienced actuarial and portfolio-risk standards.
• Evaluate AI-generated responses using structured criteria for mathematical accuracy, assumptions, methodology, interpretation, and communication quality.
• Identify calculation errors, unsupported assumptions, inappropriate actuarial methodologies, incorrect interpretations of correlation and causation, and recommendations that are not supported by available data.
• Provide clear, detailed written feedback to help research teams improve the quality and reliability of AI-generated insurance reasoning.
• Participate in onboarding office hours, calibration sessions, and related activities to maintain consistency in evaluation standards.
• Apply practical insurance judgment to distinguish account-level underwriting considerations from broader portfolio-level actuarial and risk-management analysis.

• 2+ years of professional experience in P&C actuarial work, insurance pricing, reserving, catastrophe modeling, portfolio risk management, or a closely related discipline.
• Demonstrated experience performing quantitative analysis using premium, exposure, claims, loss, reserve, or other insurance datasets.
• Strong understanding of actuarial methods and the ability to evaluate assumptions, methodologies, limitations, and business implications.
• Ability to clearly explain complex quantitative concepts to both technical and nontechnical audiences through strong written and verbal communication.
• Excellent quantitative reasoning, analytical judgment, attention to detail, and ability to identify inconsistencies or unsupported conclusions.
• Proficiency with spreadsheets and at least one analytical, statistical, or actuarial modeling tool.
• Ability to work independently while maintaining rigorous quality standards and meeting defined deliverables.
• Preferred: ACAS, FCAS, or active progress toward CAS credentials.
• Preferred: Experience with personal, commercial, specialty, or reinsurance portfolios.
• Preferred: Background in catastrophe modeling, capital modeling, predictive modeling, or rate filings.
• Preferred: Experience with SQL, R, Python, SAS, or actuarial modeling platforms.
• Preferred: Experience presenting analytical results to underwriting, finance, claims, or executive stakeholders.

• Flexible workload of at least 20 hours per week, with 40+ hours per week preferred.
• Opportunity to contribute to cutting-edge AI development using specialized insurance expertise.
• Exposure to sophisticated pricing, reserving, portfolio, and risk-management scenarios.
• Flexible engagement structure suited to experienced insurance professionals seeking project-based or additional professional work.
• Opportunity to directly influence how AI systems reason about quantitative insurance risk.
• Applications are reviewed on a rolling basis, with the role available to start immediately.
• Eligible referrals may provide an opportunity to earn up to $250 per successful referral, subject to applicable conditions.