Company Description

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.

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity

JOB DESCRIPTION

• Responsible for ensuring data’s quality and fitness for purpose of the organization’s data assets, including working with Tech teams for storing the metadata for those data assets
• Review integrity of data, both referential and historical.
• Measure and report to management on the progress of data quality improvement.
• Monitor compliance of information flows and data stores against data quality standards.
• Identify areas for data quality improvement and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.
• Work on creating new rules / processes to perform data profiling and analysis of data quality against data quality metrics.
• Work on data mining, data cleansing, data update, reconciliation, and data maintenance activities as per agreed SOP’s
• Work with the Global Middle Office (GMO) or other personnel in Moody’s Information Technology (MIT) to make corrections and updates as needed to ensure accuracy of data.
• Actively participate as a member of a team, providing support to team members and fostering a team environment.
• Cross- train to perform other related business unit tasks.
• Collaborate with internal business stakeholders to support updating / improving existing processes
• Participate in Agile scrum teams and contribute to project planning and work prioritization

Qualifications :

• Master’s degree, MBA (Finance) or equivalent qualification.
• Excellent knowledge of Fixed Income Securities (Bonds, debts) and Reference data (ISIN, CUSIP, CIK’s and LEI’s)
• Having a mid-level understanding of Python is essential.
• Knowledge of SQL, MS Access, Alteryx, Power BI, Tableau will be preferred.
• Should have excellent verbal and writing skills, project and time management skills, ability to work in teams and attention to detail.
• Self-starter who understands what needs to be done and is capable managing their own tasks. Ability to work in a self-directed and independent manner.
• Client focused, proactive, and results oriented
• Proficient in Microsoft Office Suite
• Strong experience working in Agile environments, experience with design thinking

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.