  We study large and moderate deviations for a life insurance portfolio,
without assuming identically distributed losses. The crucial assumption is that
losses are bounded, and that variances are bounded below. From a standard large
deviations upper bound, we get an exponential bound for the probability of the
average loss exceeding a threshold. A counterexample shows that a full large
deviation principle does not follow from our assumptions.
