Moody's is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don't meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.

　　Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.

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　　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 projectsBe 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 upEstablish and manage an internal structured assets data governance processesLead internal data acquisition and production processes to ensure quick turnaround and address data quality issues in a timely fashionParticipate in firm wide initiatives related to Data Quality and Master Data Management (MDM) solutionsEvaluate 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 experienceExperience with structured products like RMBS, ABS, CMBS, CLOs and their associated data sets including familiarity with data scrapping from trustee and investor reportsExperience 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.

　　Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

　　Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

　　For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

　　Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.