Data Associate, Fixed Income, USA-NY-New York City
Data Associate, Fixed Income
Company:
The McGraw-Hill Companies
Location:
USA-NY-New York City
Compensation:
not disclosed
Position Type:
Permanent
Employment type:
Full time
Updated:
23 Nov 2009
eFC Ref no:
585929
See job description below
Standard & Poor's, a division of The McGraw-Hill Companies (NYSE:MHP), is the world's foremost provider of financial market intelligence, including independent credit ratings, indices, risk evaluation, investment research and data. With over 10,000 employees, including wholly owned affiliates, located in 23 countries. Standard & Poor's is an essential part of the world's financial infrastructure and has played a leading role for more than 140 years in providing investors with the independent benchmarks they need to feel more confident about their investment and financial decisions. For more information, visit http://www.standardandpoors.com.
We are currently seeking a Data Associate. This role will be instrumental in ensuring the effective use of data within Fixed Income & Risk Management Services (FIRMS). The selected candidate will manage data requirements for both internal applications and commercial product offerings while maintaining a focus on strategic use of data across the organization.
Essential Accountabilities:
Coordinating efforts across the Data Strategy & Operations group (DSO) to support FIRMS data needs by interfacing with enterprise master data assets and understanding Content Rights Management needs.
Catalogue the data inputs used in commercial models within FIRMS and coordinating efforts to standardize input data sets where possible
Work with members of other teams such as Project Management, Business Units, and IT to understand, identify and address issues or opportunities that lead to effective data management processes and improvements in data quality and services
Compiling the global alternatives of potential data sources and integrating them into a framework for utilization in the collection and distribution process
Deliver recommendations and support implementation of workflow and process re-design for more effective collection, storage and distribution of content.
Working with technical and development teams to ensure appropriate implementation of data changes
Actively participate in mapping the many data sources to be included in Enterprise Data Management Solution to the data model established IT modeling team.
Coordinate the testing of the data feeds and the maps upon each implementation to ensure expectations are met.
Provide recommendations and support implementation on technical or procedural workflow on data production by partnering with IT to build new data processes.
Perform root cause and trend analysis and implement solutions that lead to data quality and process improvements
Manage and run ad hoc data queries from multiple database types to identify data inconsistencies and support data production groups initiatives
Manage data collection from multiple sources and make recommendations on alternatives for implementation
Scrutinize data record counts from differing databases/sources, determine reasons for any discrepancies and implement streamlined processes for the Data Operations group
Working with the Data Quality Assurance, identify measurable data and implement metrics to be used as global benchmarks to gauge performance of the data quality control group
Assist to define the data requirements of our Ratings Analysts by understanding how they use and manipulate the data. Constantly and continually review, evaluate and report data sources and how the business unit will use the data
Provide project management and data strategy expertise for projects in the FIRMS organization
Leverage different data points and resource elements across FIRMS to streamline processes and procedures and to enhance efficiencies of S&P's various products
Partner with Associates in the international subsidiary based in Mumbai to help implement/coordinate data strategies
Perform business analysis on enhancement requests of processes and systems
Represent the team, its responsibilities and vision to management and business audiences
Present data strategy recommendations on the technical and procedural processes to the Managing Director of the DSO as well as other senior members of FIRMS leadership
Equal Opportunity Employer
Skills
Key Functional Competencies:
Minimum of a Bachelor's Degree, preferably in Accounting, Finance, Economics or Mathematics ; CPA, CFA and/or an advanced degree a plus
7+ years of work experience; 5 to 8 years data management experience
4+ years in a single data domain (pricing, reference, fundamentals, structured finance)
2+ years in an additional data domain
Requires advanced proficiency in Microsoft Excel and advanced Access skills
Intermediate experience with SQL, including the ability to create complex queries, navigate large data models, and create basic data models for data analysis
Intermediate understanding of multiple sets of data sets: Fixed Income, Equity, Derivatives, Structured Finance
Experience with AGILE software development process
Key Managerial and Behavioral Competencies:
The success of this role will be greatly impacted by the individual's ability to communicate issues, recommendations, and decisions to subject matter experts and management. Therefore the following levels of knowledge/experience are essential:
Advanced communication skills (written and oral)
Advanced problem solving skills
Advanced multi-tasking skills
Advanced time management skills
Ability to facilitate group discussions
Ability to work well within the context of a team
Ability to meet strict deadlines
Good decision making skills
Intermediate leadership skills
Must be skilled at representing groups/teams within the DSO, beyond his/her own
Must be able to work in an international team including working with offshore and outsource team
This individual will be both a contributor and lead on tactical and strategic data initiatives and an understanding of project management and data management are necessary.
Understanding of project management and data management are necessary
Advanced understanding of database modeling/design/applications
Breadth of international experience, including examining and integrating data across multiple markets.
