Data Quality Associate

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

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. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills And Competencies

• Superb analytical skills with persistence in problem solving and the ability to learn quickly and independently; strong logical thinking with the ability to develop robust code for data analysis and quality control processes
• Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
• Strong communication skills, with the ability to present data analysis findings in a clear, structured manner to both technical and non-technical stakeholders; able to break down complex data quality issues into simple, accessible explanations
• Proficiency in SQL (SQL Server, PostgreSQL, MySQL); experience with a scripting language (Python) and a statistical package (R); proficiency in MS Office, especially MS Excel
• Experience working with AWS (Glue, Athena) and Large Language Models
• Ability to correctly read and interpret financial statements such as 10-K and 10-Q filings; working knowledge of US GAAP, IFRS, and other regional accounting principles
• Exposure to third-party Business Intelligence tools (e.g., Tableau, Qlik, R Shiny) and ETL tools (e.g., CloverETL) - preferred
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education

• Bachelor's degree in Economics, Statistics, Finance, Accounting, Operations, Engineering, or a related field required
• Graduate degree and/or 1-2 years of relevant work experience is a plus

Responsibilities

Drive data accuracy and integrity for Moody's Analytics industry-leading credit risk measurement 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 to measure the effectiveness of data quality processes
• 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 conduct thorough validations and reconcile data obtained from external vendors with public disclosures
• Map financial line items from company reports to specific model inputs; apply data transformation techniques to standardize and prepare data for analytical processing; stay current with financial reporting standards
• Identify opportunities to improve data operations processes through automation or other means; build data models for input and output of credit risk models; perform quality control on data by analyzing patterns and discrepancies
• Develop and implement AI-powered data quality strategies to improve the accuracy, completeness, and consistency of data assets; maintain up-to-date knowledge of advancements in generative AI and translate this expertise into actionable designs

About The Team

The Banking Group at Moody's Analytics transforms data into state-of-the-art analytics that help clients make better decisions in the face of uncertainty. Serving clients across banking, insurance, commercial real estate, and many more industries, our team delivers economic research and credit risk tools used to evaluate credit-worthiness, monitor risk, and support major investment decisions. Our Data Team manages the critical processes that ensure the accuracy and timely delivery of vital financial data linked to our industry-standard credit risk measurement tools and software applications. Made up of intellectually curious economists, data scientists, and IT professionals, we combine deep technical skills with a strong drive to understand client needs - and we are actively embracing AI and automation to shape the future of financial risk analytics.

For US-based roles only: the anticipated hiring base salary range for this position is $71,000.00 - $93,00.00 depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation.

• Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

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.