Experiences with using SAS and R in insurance and banking

In July 2011, Hong Ooi presented an engaging talk to Melbourne R Users Group. Both David Smith from Revolutions and Eugene Dubossarsky behind the Analyst First movement have discussed the presentation.

The video of the talk is now available for viewing through Drew Conway’s Vcasmo site.

The video can be accessed here.

The talk outline was as follows:

Hong Ooi talks about some of the more interesting projects that he has used R for in the last year. These include fitting models for mortgage loss given default, a Monte Carlo application for stress-testing loan portfolios (in combination with Excel and SAS), a framework for calculating through-the-[economic-]cycle probabilities of default, and possibly others. He also talks about some of the challenges involved in getting R accepted in a conservative financial institution workplace.

Hong Ooi graduated from Macquarie University with a BEc in actuarial studies, then worked with NRMA Insurance/IAG in Sydney for many years. Completed a Masters in Applied Stats from Macquarie in 1997, and a PhD in statistics from ANU from 2000-2004. Displayed impeccable timing by switching jobs to St George Bank on the eve of the global financial crisis. Now with ANZ Bank in Melbourne, and adapting to the rigours of life south of the border.

Software tools for data analysis – an overview

Discussions on various software tools (C, C++, Perl, Python, Unix shell, R, Matlab, SAS, SPSS, Excel, databases, Hadoop etc.) used in data analysis. Szilard Pafka (founder and co-organizer of the Los Angeles R users group) presents an overview and discusses the survey results regarding their usage by the members of the Los Angeles R users group. A plan for possible talks in the future (at LA RUG meetings) with more details on some of these tools and how they can be used with R is also discussed.

(Also have a look at the discussions on the same topic here: Comparison of data analysis packages: R, Matlab, SciPy, Excel, SAS, SPSS, Stata.)