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Financial sector: SAS programmer
Job description and responsibilities
The Financial Markets, Corporate Development and Economics Division of the company is responsible for management reporting and strategy work in the company’s financial sector. Solving our problems requires a well-developed, well-documented data foundation. You will have the following tasks:
•Participating in the company's data warehouse project.
•Developing and automating management reporting.
•Specifying and drawing up requirements for the data foundation for Financial Markets and developing complete electronic solutions.
Required background and skills set
The position requires a programming background and knowledge of SAS. A degree in political science or economics is preferred because you will be working with data for a series of product categories that require a basic knowledge of economics.

- Financial modeling & trend analysis experience required.
- SAS skills a definite plus.
- Profitability analysis, financial and statistical modeling, product development and special projects.
- The course offers unified and in-depth coverage of the statistical computer package - ---- SAS and its statistical applications.
- Topics include the language of SAS, data formatting, creating and storing SAS data sets, file manipulations, macro procedure, and graphics.
- Also included are procedures for statistical techniques selected from analysis of variance, regression, factor analysis, scoring, and categorical data analysis.
-Several large data sets will be used as case study emphasizing hands-on experience with SAS for Windows.

The position is in the Actuarial Department.
Job Description
* SAS based support required for Actuarial/Pricing Division's
Rate Review Analyses, Rate Filings and Implementations
* Design, Programming and Maintenance of standardized and
Ad Hoc Reports
* Participation in the design and creation of a Data Mart
* Development and testing of SAS applications for the Data Mart.
* Support and maintenance of the Data Mart and Applications
* Participation in innovative Pricing analyses /Data Mining
Qualifications
Excellent SAS Programming skills, Experience in Data Analysis
Familiarity with SAS/AF desired, High level of motivation.
Send detailed resume to: Abe Phillips, Director, Pricing

- Financial modeling & trend analysis experience required.
- SAS skills a definite plus.
- Profitability analysis, financial and statistical modeling, product development and special projects.

MET MA 603 SAS with Statistical Applications
- The course offers unified and in-depth coverage of the statistical computer package SAS and its statistical applications.
Topics include the language of SAS, data formatting,
creating and storing SAS data sets, file manipulations, macro procedure, and graphics.
Also included are procedures for statistical techniques selected from analysis of variance,
regression, factor analysis, scoring, and categorical data analysis.
Several large data sets will be used as case study emphasizing hands-on experience with SAS for Windows. Stamped approval required, please contact the Department of Actuarial Science at 617-353-8758. Laboratory course. 4 cr. Tuition: $2440

It depends whether you are going to work in P&C or Life. If you work in P&C, SAS, etc is valuable. In Life, the packages are more useful. Working in Life, it again depends on where you are going to work. In Canada, Axis is the market leader. In US, PTS, TAS, Moses and ALFA are the big ones. If you work outside of North America, Prophet is the dominate system.

Recommended Computer Science Curriculum
This article outlines a recommended computer science curriculum for college and university students interested in pursuing in actuarial science. The Computer Science Section of the Society of Actuaries has compiled this recommendation to guide college and university students in selecting courses and to help colleges and universities develop curriculum for actuarial science programs.

The Section suggests that about 10% of an actuarial science undergraduate program consist of computer science. This can be obtained in computer science classes and/or mathematics, statistics, or actuarial classes that include computer science topics in an integrated approach. About three-fourths of this should be devoted to programming languages. These would typically include, but would not necessarily be limited to APL, J, Basic, Visual Basic, C, C++, Fortran, Java, Pascal, SAS, and S-Plus. About one-fourth of this should be devoted to other software tools such as Excel, LOTUS, or other spreadsheets, and mathematics packages like Mathematica or Maple.

In addition to the topics normally covered in computer science courses, the actuarial student should be exposed to problems requiring iterative solutions, approximation of infinite series, approximate integration, approximation of functions, graduation of data/curve fitting, Monte Carlo techniques, manipulation of multi-dimensional arrays, and estimation of statistical distributions.

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