This is a fully remote position, open to applicants in United States.

📋 Description

• Engage with AI models on scenarios related to insurance and theoretical questions in actuarial science.

• Ensure the factual accuracy and logical integrity of responses generated by the models.

• Capture and document reproducible error traces.

• Record instances of model failures.

• Propose enhancements for prompt engineering and evaluation metrics.

• Challenge sophisticated language models on actuarial subjects to refine their reasoning capabilities.

⛳️ Requirements

• Expertise in actuarial science, encompassing probability theory, financial mathematics, life contingencies, risk modeling, pension valuation, health insurance, predictive analytics, and regulatory compliance.

• Familiarity with loss distributions, reserve calculations, Monte Carlo simulations, stochastic processes, solvency assessments, credibility theory, and insurance pricing.

• A bachelor's or master's degree in actuarial science, mathematics, statistics, or a closely related discipline is preferred.

• Completion of actuarial exams through SOA or CAS indicates a suitable candidate.

• Experience with valuation software, data modeling, or projects involving risk analysis suggests a good fit.

• Strong metacognitive communication skills and the ability to articulate your thought processes.

• Geographic location will be considered in determining rates.