SAS Developer
Dublin, OH 12 months
The candidate must exhibit a thorough understanding of data structures, data manipulation, application development, and automation. The candidate must have a sound understanding of data processing techniques, as well as the tools used to access data and to produce reports. In addition, the candidate must have the ability to partner with customers inside and outside of the department to understand their needs and assist them in utilizing available tools and data. The ideal candidate will possess both strong technical skills and an understanding of real estate lending.
Key responsibilities will include the following:
• Designing, developing, testing, deploying, and maintaining analytic applications and data structures needed for modeling and forecasting
• Process analysis and process improvement
• Creating technical and user documentation
• Training customers on how to install and/or use custom built applications and data repositories
• Identifying innovative techniques and/or developing utilities that increase the speed and efficiency of the modeling tool set "
"5+ years experience designing and developing highly efficient SAS code for use in automated data processing systems on Unix based platforms.
EDUCATION:
The candidate must have an educational background in Computer Science, MIS, Software Engineering, or a related discipline. In addition, the candidate must have a minimum of a Bachelor’s degree with five years of experience or a Master’s degree with three years of experience.
QUALIFICATIONS:
• 5+ years of solid application development experience
• 5+ years experience designing and developing highly efficient SAS code for use in automated data processing systems on Unix based platforms.
• 3+ years experience with Unix shell scripting
• 5+ years experience with SQL in a relational database environment
• Excellent oral and written communication skills
• Must have ability to deliver high-quality results under tight deadlines and be comfortable manipulating and summarizing large quantities of data
• Knowledge of version control tools and processes (Subversion, CVS, Clear Case etc.)
• Knowledge of the mortgage lending lifecycle, including origination, sale/servicing, default management/loss mitigation is a major plus
• Must be able make contributions to the group’s knowledge base by proposing new and valuable ways for approaching problems and projects
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