Computational Finance with Map-Reduce in Scala by Ron Coleman, Udaya Ghattamaneni, Mark Logan, and Alan Labouseur. (PDF)
Assuming the computations performed by quants are semantically homogeneous (a big assumption), the sources of their data and application of the outcomes, are not.
The clients of quants aren’t interested in you humming “…its a big world after all…,” etc. They are interested in furtherance of their financial operations.
Using topic maps to make an already effective tool more effective, is the most likely way to capture their interest. (Short of taking hostages.)
I first saw this in a tweet by Data Science London.