I believe that scaling would be quadratic; but yes, more features (variables) isn't always better.
However, you can't know which features carry information until you collect and analyze them. For a problem like fraud -- where "expert" input probably would not allow you to figure out which features you need ahead of time -- it was almost certainly more reasonable to gather all the data and then, after the fact, perform feature selection[1].