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发帖数: 18 | 1 Two openings for SAS Application Developer and Data Analyst in our group.
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Below are job description for openings:
Positions: SAS Application Developer
Description:
The Senior SAS Application Developer will be a key member of the Modeling
Data Infrastructure & Technology team within the Chase
Home Lending - Risk Modeling & Forecasting organization. The candidate must
exhibit a thorough understanding of data structures,
data manipulation, query efficiency techniques, application development, and
automation. In addition, the candidate must build a
solid understanding of Chase Home Lending businesses, functions, systems,
data environments, and processes that are necessary for
the production and utilization of data.
The candidate must have a sound understanding of data processing and
warehousing 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.
Other 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
can increase the speed and efficiency of the modeling tool set
EDUCATION:
The candidate should have a minimum of a Bachelor’s degree in Computer
Science, MIS, Software Engineering, or a related discipline.
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.
SAS Programming is a must.
• 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
Positions: Senior Risk Data Analyst
Description:
The Senior Risk Analyst will be a key member of the Modeling Data
Infrastructure & Technology team within the Chase Home
Lending - Risk Modeling & Forecasting organization. The candidate must
exhibit a thorough understanding of data structures, data
manipulation, querying techniques, and automation. In addition, the
candidate must have a solid understanding of Chase Home
Lending businesses, functions, systems, data environments, and processes
that are necessary for the production and utilization of
data.
The candidate must have a sound understanding of data processing and
warehousing 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.
Other responsibilities will include the following:
• Track and maintain data issues list for Risk Modeling Projects
• Coordinate with internal data warehouse and MIS teams to develop
robust solutions to data issues
• Develop logic for automated modeling data validation
• Creating technical and user documentation
EDUCATION:
The candidate should have a minimum of a Bachelor’s degree in Finance,
Business, MIS, or a related discipline.
QUALIFICATIONS:
• Knowledge of the mortgage lending lifecycle, including origination,
sale/servicing, default management/loss mitigation is a must
• 3+ years of data analysis in a Home Lending environment
• 3+ years experience using SQL in a relational database environment
• 3+ years experience programming in SAS
• 2+ years experience using Unix
• 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
• Must be able make contributions to the group’s knowledge base by
proposing new and valuable ways for approaching problems and projects
• Experience designing and developing highly efficient SAS code for
use in automated data processing systems on Unix based platforms is a major
plus. |
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