GE Asset Management’s Anthony Sirabella Focuses on Improving Data Governance
Data management initiative leads GE Asset Management’s SVP and CIO, Anthony Sirabella, to implement Wall Street Office loan management platform, develop a fixed-income attribution model and focus on enhancing trading and reporting capabilities.By WS&T Staff
July 18, 2006
GE Asset Management 3001 Summer Street Stamford, CT 06905
SIZE OF FIRM:
$192 billion in assets under management as of March 2006.
PREVIOUS POSITIONS:
GE Asset Management, director of mutual fund systems; Fidelity Investments, project manager; Kidder Peabody, area manager; Merrill Lynch, systems analyst; Chase Manhattan, programmer.
EDUCATION:
M.B.A. in information systems from Pace University, Lubin Graduate School of Business.
WHO WAS YOUR MENTOR?
Peter Nastri, a senior leader in the retail sales executive team at Kidder Peabody. He spent endless time explaining the securities business to me, which provided invaluable insight into the technology solutions I was deploying. He also taught me how to interact with and effectively present technology ideas to business people.
Top 3 Current Projects
Data Governance
Objective:
Generate more-consistent, accurate and timely data across the business; increase confidence in the data; and increase productivity for those supporting the data infrastructure. The data governance initiative involves a business focus on carefully defining data sources and definitions to meet user requirements, consistently applying that data across various analytic tools and reports, greater control over supplying systems and processes, and continuous monitoring to make sure that the data remains accurate and timely.
Start Date:
Q2 2006.
Expected Completion:
Ongoing as data requirements and databases evolve.
CLO Management System
Objective:
Wall Street Office, a leading-edge bank loan management platform, is being implemented to support GEAM's growing CLO management business. This wing-to-wing solution will allow scalable bank loan capabilities as GEAM expands its efforts in this important market niche.
Start Date:
Q4 2005.
Expected Completion:
Q3 2006.
Fixed Income Attribution II
Objective:
Development of a proprietary, returns-based, fixed-income attribution model meeting the key requirements of accurate, intuitive and timely attribution. The model, which is based on factors including total management effect, duration contribution, curve positioning, sector selection and security selection, now is being advanced to incorporate excess return impact.
Start Date:
Q4 2005.
Expected Completion:
Q3 2006.
2007 Initiatives
Simplify Identity Management
GEAM is currently focusing on an ID management solution to automate the provisioning of user access to business systems for increased compliance.
Trading Dashboards
Among other regulations, Reg NMS and MiFID will continue the progression toward more analysis of the equity and fixed-income trading practices. Graphical dashboards driven by low-latency OLAP technology will deliver actionable information to the trader.
Derivatives Platform
Enhance trading and reporting capabilities on derivatives and comprehensive risk assessment for derivatives investing.
Institutional Web Site
Enhance Web site with functionality that demystifies the investing process, continue to raise the bar for customer service and leverage our knowledge of our customers and markets to deliver value.
Vitals
IT Budget:
N/A
Size of Technology Team:
175 to 200 employees, including consultants and temporary resources.
Key Technology Partners:
State Street Corp.
Success Metrics:
The metrics on which we focus are how well we exceed customer expectations, timeliness and budget impact.
The ability to derive value from unstructured data that resides within an organization. As architectures such as UIMA (Unstructured Information Management Architecture) mature, the ability to seamlessly search all data types (e-mail, research reports, video, etc.) within an organization's walls with a single query will become reality. The key question will be whether the resulting value outweighs the cost.
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