Brian Fannin
Research Actuary at Casualty Actuarial Society
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Episode notes
We were recently joined by Brian Fannin, Research Actuary at Casualty Actuarial Society.
During the hangout (38:46) with Brian, we spoke a bit about the areas where actuaries are turning to code-first data science.
A big selling point for actuaries is when they find out they can replace a very typical actuarial and analytic workflow of creating a plot in Excel and copying and pasting it into Word. That’s operationally inefficient. It’s operationally dangerous.
The notion that my entire analytics report is in one file: all of the code, all of the narrative, all of the tables, it’s like telling me that I can breathe underwater and fly.
I think that as actuaries become aware of that capability, they will get happy about it as will the people who need to communicate with actuaries.
Imagine you’re in a meeting and you have everyone looking at the same file and the plot didn’t update.
“What do you mean we’re losing $1 billion a day?”
“Oh, sorry, that’s yesterday’s graph. Today it is…”
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Resources shared during the hangout:
R for Actuaries and Data Scientists: https://info.actexmadriver.com/r-for-actuaries
Deep Learning with R (Second Edition): https://www.manning.com/books/deep-learning-with-r-second-edition
The Theory That Would Not Die: https://yalebooks.yale.edu/book/9780300188226/the-theory-that-would-not-die/
CASDatasets: http://cas.uqam.ca/
R4DS Community: https://r4ds.io/join
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Brian Fannin