Data Management Analyst - Structured Finance

The Role / Responsibilities:

Responsible for managing all data acquisition, mapping and quality efforts related to structured products, including agency and non-agency RMBS, ABS, CMBS, and CDOs for Moody’s Analytics Content Solutions - Structured division.

This function is vital for the CS-Structured team to ensure maximum coverage of data, quick turn-around and improved quality assurance to achieve Moody’s Analytics’ overall product enhancement and revenue growth objectives.

· Maintain production cycle of structured products, including agency and non-agency RMBS, ABS, CMBS, and CDOs and manage associated data quality and cleanup projects

· Be a part of project team to work on structure finance Data Management - to acquire, parse, validate and store data for downstream products and processes.

· Manage vendor workflow

- send monthly deal monitoring portfolio

- Resolve vendor query

- create specifications for new tasks

- establish vendor submission acceptance criteria

- approve vendor

The Role / Responsibilities:

Responsible for managing all data acquisition, mapping and quality efforts related to structured products, including agency and non-agency RMBS, ABS, CMBS, and CDOs for Moody’s Analytics Content Solutions - Structured division.

This function is vital for the CS-Structured team to ensure maximum coverage of data, quick turn-around and improved quality assurance to achieve Moody’s Analytics’ overall product enhancement and revenue growth objectives.

· Maintain production cycle of structured products, including agency and non-agency RMBS, ABS, CMBS, and CDOs and manage associated data quality and cleanup projects

· Be a part of project team to work on structure finance Data Management - to acquire, parse, validate and store data for downstream products and processes.

· Manage vendor workflow

- send monthly deal monitoring portfolio

- Resolve vendor query

- create specifications for new tasks

- establish vendor submission acceptance criteria

- approve vendor submission

· Coordinate with Data Ops and Dev Ops teams

· - create Jira tasks and follow up

· Establish and manage an internal structured assets data governance processes

· Lead internal data acquisition and production processes to ensure quick turnaround and address data quality issues in a timely fashion

· Participate in firm wide initiatives related to Data Quality and Master Data Management (MDM) solutions

· Evaluate new tools and technologies in the data quality/management space.

Qualifications:

· Bachelor’s degree with 3-5 years relevant work experience a must. MBA or equivalent graduate degree preferred. Consulting experience with data projects highly desirable.

· 2 - 4 years of Data Management experience

· Experience with structured products like RMBS, ABS, CMBS, CLOs and their associated data sets including familiarity with data scrapping from trustee and investor reports

· Experience with data quality, data cleanup, data enrichment, data strategy, and/or master Data Management (MDM) projects preferred.

· Experience in project management, software development lifecycle would be preferred.

· Experience with advanced structured query language (SQL)

· Experience with VBA, Python and scripting languages would be a plus.

· Strong quantitative and analytic skills

· Strong background in business process analysis, requirements, and design, as well as data modeling, prototyping and detailed functional design.

· Expert understanding of data analysis, including root-cause analysis, and other process modeling and systems design tools.

· Excellent team player and able to work with virtual and global cross functional teams.

· Excellent spoken and written communication as well as receptive listening skills, with ability to present complex ideas in a clear, concise fashion to technical and non-technical audiences.