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.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Moody’s External Website Posting Website:

Employer: Moody’s Analytics, Inc.

Title: Assc Dir Mgr-Data Management

Location: 7 World Trade Center, 250 Greenwich Street, New York, NY 10007

Duties: Responsible for the complex lifecycle of asset-level data. Focus on data sourcing, extraction, quality control and cleanup associated with the acquisition and warehousing of loan level structured assets data, including agency and non-agency RMBS, CMBS, ABS and CDOs. Improve structured Finance data and model quality, efficiency and coverage. Analyze inconsistent, incomplete and contradicting raw data to create a comprehensive dataset for all downstream processes. Create data quality framework and implement processes and procedures along the desired standards including creation of metrics to track the data quality. Analyze multiple post-production asset class data sets through well-defined quality processes. Review and resolve any data inquire from both internal and external clients around loan level data. Provide direction for the development and refinement of data management methodologies, driving innovation and operational excellence. Responsible for data management process, from the initial acquisition of data to the seamless integration into our cash flow models, ensuring that clients receive accurate and timely information. Guide the development team in the creation of hotfixes and enhancements to improve operational efficiency and data quality.

Requirements: Requires a Bachelor’s degree or foreign equivalent in Technology, Engineering (any) or a related technical field plus five (5) years of progressively responsible experience as a Financial Engineer, Delivery Manager, Project Manager or in a related IT position working in data analytics. Alternatively, employer will accept two (2) additional years of related work experience in lieu of a Bachelor’s degree. Any suitable combination of education, training or experience is acceptable. Must have experience with the following: using SQL or NOSQL databases for a production environment; performing advanced data analysis, automation, and report generation; interacting with business partners and data engineers to understand data needs, ETL practices, and data models, and utilizing BI tools for data visualization and reporting; working with unstructured datasets and leading data quality improvement initiatives, including experience with data cleansing, transformation, and validation; applying knowledge of complex structured or unstructured datasets and their relationships to find issues; performing root cause analysis on internal and external data and processes; and comprehensive understanding of structured finance markets, products, regulatory environments and familiarity with cash flow models for various structured finance products.

For US-based roles only: the anticipated hiring base salary range for this position is $191,922 to $204,650/yr, 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.

To apply, please submit resume through careers.moodys.com or via e-mail at hrbox28@moodys.com. Please refer to Job Ref. 10541.

For US-based roles only: the anticipated hiring base salary range for this position is $191,922 - $204,650, 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 accommodations@moodys.com. 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.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.