Actuary

Models reach for an actuarial answer and fumble the long-tail math: a reserve that ignores development, mortality assumptions applied to the wrong cohort, discounting that quietly breaks the present value. Someone has to make the assumptions and the arithmetic hold across decades, and that someone is you.

As an Actuary you'll evaluate AI-built risk models and pricing, check the assumptions and the methods, and write the judgments that teach models what actuarial rigor demands.

• Evaluate AI actuarial work: reserving, pricing, and the assumptions driving each.
• Check the methods: development factors, mortality and morbidity tables, discounting, and stochastic modeling.
• Write the sound analysis when the model falls short, with assumptions documented and defensible.

Common backgrounds: Actuary, Actuarial Analyst, Pricing Actuary.

• Actuarial experience or exam progress across life, health, P&C, or pensions.
• Fluency with probability, statistics, and actuarial methods.
• Clear written English: your explanations are the training signal.
• No degree required. We care about what you can do, not where you learned it.