AI-Driven Data Quality Analyst

Moody's Corporation; New York (NY); On-site; USD 71,000 - 93,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Parental leave

Paid time off

401(k) plan

Job summary

Moody's Corporation is seeking a data analytics professional to advance data accuracy and integrity across Moody's Analytics credit risk tools. You will manage data acquisition, processing, and quality monitoring while producing analytical reporting for stakeholders.

The role requires strong SQL, Python, and R skills, familiarity with AWS, and experience with BI tools. You will work within Moody's Banking Group to improve data operations and leverage AI-powered solutions for risk assessment.

Qualifications

• Bachelor's degree required in Economics, Statistics, Finance, Accounting, Operations, Engineering, or related field.
• Graduate degree and/or 1-2 years of relevant work experience is a plus.
• Strong data quality focus with the ability to manage data pipelines and validation processes.

Responsibilities

• Drive data accuracy and integrity for Moody's Analytics credit risk tools by managing data acquisition, processing, quality monitoring, and analytical reporting.
• Monitor and analyze data quality trends and develop strategies to improve data quality over time; develop and maintain data quality metrics.
• Design and implement data quality monitoring and reporting processes to ensure ongoing data accuracy and consistency.
• Conduct data profiling and analysis to identify data quality issues and recommend actionable solutions.
• Build and maintain data processing pipelines and calculations to feed credit risk measurement products and related models.
• Extract financial information and equity data from publicly available company reports to validate and reconcile data from external vendors.
• Map financial line items from company reports to model inputs; apply data transformation techniques to standardize data; stay current with financial reporting standards.
• Identify opportunities to improve data operations through automation; build data models for inputs/outputs of credit risk models; perform quality control on data.
• Develop and implement AI-powered data quality strategies to improve data accuracy and leverage generative AI advances.

Skills

Analytical skills

Project management

Communication

Data quality

SQL and scripting

AWS experience

Financial statements literacy

BI tools

AI concepts

Education

Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering, or related field

Graduate degree and/or 1-2 years of relevant work experience

Tools

SQL

Python

R

AWS

Tableau

CloverETL

Job description

Moody's Corporation is seeking a data analytics professional to advance data accuracy and integrity across Moody's Analytics credit risk tools. You will manage data acquisition, processing, and quality monitoring while producing analytical reporting for stakeholders.

The role requires strong SQL, Python, and R skills, familiarity with AWS, and experience with BI tools. You will work within Moody's Banking Group to improve data operations and leverage AI-powered solutions for risk assessment.