CCB-Mortgage Risk Modeling SAS Application Developer-Associate-OH or TX

Job description

CCB Risk Mortgage Modeling SAS Application Developer-Associate-Columbus OH

JPMorgan Chase & Co . (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com

Chase Consumer & Community Banking serves nearly 66 million consumers and 4 million small businesses with a broad range of financial services through our 137,000 employees. Consumer & Community Banking Risk Management partners with each CCB sub-line of business to identify, assess, prioritize and remediate risk. Our Risk Management professionals work directly with Consumer Banking, Business Banking, Auto/Student Loan, Card and Commerce Services, Chase Wealth Management and Mortgage Banking to minimize, monitor and control the probability of risk events and mitigate the impact of risk events that do occur.

Description:
The SAS Application Developer will be a key member of the Mortgage Modeling and Analytics team within the Chase Home Lending – Consumer and Community Banking 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, forecasting and model performance monitoring
· 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

Desired profile

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 three years of experience or a Master's degree with two years of experience.

· 3+ years of solid application development experience
· 3+ years experience designing and developing highly efficient SAS code for use in automated/distributed data processing systems on Unix based platforms. SAS Programming is a must.
· Experience with Unix shell scripting
· Experience with Perl or Python
· 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, credit risk modeling and loss forecasting methodology 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