The scarcity of internal loss databases tends to hinder the use of the advanced approaches for operational risk measurement (advanced measurement approaches (ama)) in financial institutions. As there is a greater variety in credit risk modelling, this article explores the applicability of a modified version of creditrisk+ to operational loss data. Our adapted model, oprisk+, works out very satisfying values-at-risk (var) at 95% level as compared with estimates drawn from sophisticated ama models. Oprisk+ proves to be especially worthy in the case of small samples, where more complex methods cannot be applied. Oprisk+ could therefore be used to fit the body of the distribution of operational losses up to the 95%-percentile, while extreme value theory (evt), external databases or scenario analysis should be used beyond this quantile.