Data Quality Associate

**Location(s)**:

- Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN

**Line Of Business**: ROC(ROC)

**Job Category**:

- Corporate Services

**Experience Level**: Experienced Hire

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

Skills and Competencies
- 1-5 years of work experience in data analysis/ data validation/data management
- Good knowledge of Fixed Income Securities (Bonds, debts) and Reference data (ISIN, CUSIP, CIK’s and LEI’s)
- Knowledge of SQL, MS Excel and/or Access, Alteryx, Power BI, Tableau will be preferred.
- Experience working in Agile environments and design thinking will be preferred.
- Should have excellent verbal and writing skills, time management skills, ability to work in teams and attention to detail.
- Self-starter with the ability to work in a self-directed and independent manner.
- Client focused, proactive, and results oriented
- Proficient in Microsoft Office Suite
- SQL, JIRA, and Agile methodology experience a plus.
- Knowledge of Moody’s rating systems, analysis tools and operational processes a plus

Education
- Undergraduate BA/BS degree or equivalent qualification.

**Responsibilities**:
**Responsibilities**:

- Perform data quality checks to ensure the accuracy and completeness of the data in our regulatory reports.
- Responsible for ensuring data’s quality and fitness for purpose of the organization's regulatory reporting data assets, including working with Tech teams to resolve discrepancies.
- Following all the rules and procedures related to capturing discrepancies, reporting and reconciliation of data issues.
- Performing regular maintenance and validation of data attributes and think of ways on improving functionality.
- Collaborate with internal business stakeholders to support updating / improving and standardizing existing processes to enhance operational efficiencies.
- Identify areas for data quality improvement and help to resolve data quality problems through the appropriate choice of error detection and correction, root cause analysis, process control and improvement, or process design strategies.
- Coordination of data from multiple sources and verification of the integrity of the data
- Perform source system data analysis to manage source to target data mapping.
- Assist in the removal corrupted data and fixing inconsistencies and related problems
- Using automated tools to extract data from primary and secondary sources.
- Should be able to work on analysing raw data to perform proper and accurate data mapping between datasets.
- Utilizing BI tools including Rapid SQL, Alteryx, Power BI, Tableau etc for data Intelligence and analysis.
- Working with Subject Matter experts and project teams to gather all data migration and Data Mapping requirements
- Ability to work in a Scrum environment and participate in backlog review and Sprint planning sessions, following Agile methodology
- Work with the Global Middle Office (GMO), Report Owners, Technology and other teams((e.g., ODC, Compliance, Government and Public Affairs, Legal, MIT, etc.) to make corrections and updates as needed to ensure accuracy of data.
- Striving to meet team goals in terms of accuracy, timeliness, and completeness.
- Keeping the process SOPs updated at any point of time with all the latest updates.

About the team
Our ROC team is responsible for, has a primary objective of ensuring data quality and performing validation functions for Regulatory reports.

1) We perform validation checks of the regulatory reports.
2) We reduce the overall risk involved in the report
3) Ensure automation is done for all the work related to the validation.

By joining our team, you will be part of exciting work in Bangalore, India

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.