Executive Job Description | Oversee full cycle data processes for risk measurement applications.
Design, develop, test and maintain data solutions that are adaptable, extensible, sustainable, and cost efficient in support of financial valuation and risk measurement applications.
Align business and technology managers towards efficient and effective management of information systems to include identification and mapping of critical data elements, analysis and resolution of data content issues across different systems, and development of logical and physical data models, ETL scripts, Meta data definitions, queries and reports.
Map source system data to data warehouse
Develop and test extraction, transformation, and load (ETL) processes
Increase data content accuracy and availability for use in production models.
Participate in the development and execution of the long-term strategic vision regarding the Banks business intelligence / data warehouse environment as needed.
Skills
Excellent analytical, conceptual, and problem-solving abilities
Technically competent in data management theory, methods, and implementations
Solid understanding of the following DBMSes: (Oracle, Sybase, SQL Server)
Working knowledge of the Unix and Windows operating systems
Education
Bachelors degree in Computer Science, Management Information Systems, Information Technology, or similar area of study.
Masters degree in related discipline preferred.
Experience
Minimum five years of progressively responsible experience within financial institutions with concentration in technology and risk management
Applied knowledge and hands-on data management experience within a complex data infrastructure consisting of multiple systems and database environments
Proven ability to design, detail and integrate real-time market and position data into mission critical financial models.
|
