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IT skills for Actuaries
SPEDICATO, GIORGIO ALFREDO PH.D C.STAT FCAS FSA
Summary
 General Skills
 OS, Office
 Data base and programming
 Statistical Software: IT
 Focus
 R for life insurance
 R for health predictive modeling
General Skills: OS & OFFICE
 Most actuaries work with Windows PC in a LAN environment. Linux used only on
servers. (Shared folders…)
 Working knowledge of Word, Excel and Outlook is assumed. MS Access
knowledge a plus.
 Power point skills (presentations) will rapidly be acquired.
Programming
 Most actuaries will write programs in their work.
 Structured programming mostly (conditional structures).
 Depending by specialization, they may face object oriented programming .
Programming
 All actuaries will eventually write VBA code.
 Also, keeping in touch with SQL will be very easy.
 General knowledge on data base structure, data retrieving and manipulation logic
is extremely useful.
General Skills: retrieving and
summarizing data
 Most actuarial problems require data gathering, data tidying and summarization.
 Risk and statistical modeling cover just 10% of work time.
 Valuable it skills are those that help the actuary to:
 Overview and assess data.
 Clean that data.
 Summarize data (Excel pivot table, filters, etc…)
Statistical and Actuarial Software
 Two groups: general purpose statistical software / actuarial software.
 Two groups : open source / paid ones.
 Two groups: click and submit / programming skills requiring.
Statistical Software
 SAS is the major software used in corporate analytics. Excellent data management
facility. Wide set of statistical functions.
 De facto data – management Lingua Franca. Easily known. Corporate competitors
(SPSS, Stata) have limited market share in Europe.
 Requires huge IT investments. Not taught in Academics.
R, Python
 R (and Python following) are gaining more and more acceptance in corporate.
 R advantages:
 Taught in Academics.
 De facto, statistics lingua franca.
 Wide open – source community that provides plenty of packages for all functions
 R disadvantages:
 Yet seen with suspect by it guys (lack of corporate support)
 Steep learning curve
Professional Softwares
 Willis Tower Watson (after EMB acquisition) is the world actuarial software
provider.
 Non – life solutions: Emblem, Rate Assessor, Classifier (predictive modeling); Igloo (capital modeling;
ResQ (reserving)
 Life solutions: MoSes, Star ESG (life insurance modeling)
 https://www.towerswatson.com/en/Services/our-solutions/risk-software-solutions
 CAT Modeling:
 EQUECAT, RMS, AIR for Catastrophe Modeling
 ArcGis for handling spatial data
 Other software: Bloomberg, Sofia
Examples
 Using R for Life Insurance
 Using R for Health Insurance
Questions?

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It skills for actuaries

  • 1. IT skills for Actuaries SPEDICATO, GIORGIO ALFREDO PH.D C.STAT FCAS FSA
  • 2. Summary  General Skills  OS, Office  Data base and programming  Statistical Software: IT  Focus  R for life insurance  R for health predictive modeling
  • 3. General Skills: OS & OFFICE  Most actuaries work with Windows PC in a LAN environment. Linux used only on servers. (Shared folders…)  Working knowledge of Word, Excel and Outlook is assumed. MS Access knowledge a plus.  Power point skills (presentations) will rapidly be acquired.
  • 4. Programming  Most actuaries will write programs in their work.  Structured programming mostly (conditional structures).  Depending by specialization, they may face object oriented programming .
  • 5. Programming  All actuaries will eventually write VBA code.  Also, keeping in touch with SQL will be very easy.  General knowledge on data base structure, data retrieving and manipulation logic is extremely useful.
  • 6. General Skills: retrieving and summarizing data  Most actuarial problems require data gathering, data tidying and summarization.  Risk and statistical modeling cover just 10% of work time.  Valuable it skills are those that help the actuary to:  Overview and assess data.  Clean that data.  Summarize data (Excel pivot table, filters, etc…)
  • 7. Statistical and Actuarial Software  Two groups: general purpose statistical software / actuarial software.  Two groups : open source / paid ones.  Two groups: click and submit / programming skills requiring.
  • 8. Statistical Software  SAS is the major software used in corporate analytics. Excellent data management facility. Wide set of statistical functions.  De facto data – management Lingua Franca. Easily known. Corporate competitors (SPSS, Stata) have limited market share in Europe.  Requires huge IT investments. Not taught in Academics.
  • 9. R, Python  R (and Python following) are gaining more and more acceptance in corporate.  R advantages:  Taught in Academics.  De facto, statistics lingua franca.  Wide open – source community that provides plenty of packages for all functions  R disadvantages:  Yet seen with suspect by it guys (lack of corporate support)  Steep learning curve
  • 10. Professional Softwares  Willis Tower Watson (after EMB acquisition) is the world actuarial software provider.  Non – life solutions: Emblem, Rate Assessor, Classifier (predictive modeling); Igloo (capital modeling; ResQ (reserving)  Life solutions: MoSes, Star ESG (life insurance modeling)  https://www.towerswatson.com/en/Services/our-solutions/risk-software-solutions  CAT Modeling:  EQUECAT, RMS, AIR for Catastrophe Modeling  ArcGis for handling spatial data  Other software: Bloomberg, Sofia
  • 11. Examples  Using R for Life Insurance  Using R for Health Insurance