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Moody’s empowers people to make better decisions and achieve brighter futures. This is what motivates us to bring out the best in our products and our people. Join us. Forward Together.
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
Department
The Predictive Analytics group transforms our data into state-of-the-art analytics to help clients make better decisions in the face of uncertainty. Our clients come from a wide range of industries such as banking, insurance, commercial real estate and many more. They use our economic research to evaluate credit-worthiness, to monitor risks and opportunities when weighing up major investment decisions as part of their corporate strategy. Our team is made up of intellectually curious economists, data scientists, and IT professionals who combine technical skills with a strong desire to understand clients’ needs.
Role/Responsibilities
As a Data Operations Associate, you will have the opportunity to contribute to a team responsible for generating and delivering industry leading risk metrics to a variety of products offered by Moody’s Analytics. You may perform a variety of different data management job functions, including data acquisition, data processing, data inquiry, model calculation, etc. This position involves a blend of technical skills and qualitative/quantitative financial data analysis to source and maintain credit risk data and models. This position is for you, if you are a quick learner, have a passion for data to understand model, uncover data patterns, fulfill data request, identify data issues, and solve problems.
The Corporate Credit Data group is responsible for managing the critical processes that ensure the accuracy and timely delivery of vital financial data that is linked to our industry-standard credit risk measurement tools and related software applications. This role will facilitate that process, working with the engineering, IT, support, and development teams to ensure the timely and seamless delivery of data to clients. Additionally, the role is responsible for gathering and inputting financial data from clients into the company’s credit risk measurement tools and software, as well as running the data processing and calculations that feed the company’s credit risk measurement and management products.
Responsibilities:
- Monitor and manage data pipelines components in model calculation and data distribution process. Effectively troubleshoot and fix technical issues and data issues to meet data delivery deadlines.
- Identify data pipeline inefficiency; im prove and refine data logic, code efficiency, and conduct automation.
- Resolve data inquiries/issues, fulfill data requests for internal and external clients with accuracy and in a timely manner.
- Define/cleanse/standardize data mapping and data model from multiple data vendor sources into a centralized database or for internal/external data requests.
- Work side-by-side with Data Analysts and Engineers for data troubleshooting and data delivery.
- Coordinate closely with Product, Client Support, Research, SDE, and DevOps, for new product and feature release, enhancement, data request, and new model development.
- Produce data visualizations to using data intelligence tools that describe data characteristics.
- Contribute towards documentation of business-as-usual activities and projects as they near completion.
Qualifications
- Requires Bachelor’s degree in Economics, Statistics, Finance, Accounting, Operations, Engineering or a related field.
- Graduate degree and/or 1-2 years of work experience is a plus.
- Superb analytical skills, persistence in problem solving, and ability to learn quickly and independently
- Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
- Strong logical thinking that can develop robust code for data analysis and QC process
- Excellent written and oral communication skills
- Exposure or interest in financial services space
- Ability to correctly read and interpret financial statements such as 10K and 10Q; US GAAP, IFRS, and other regional accounting principles
- Experience working with AWS (Glue, Athena)
- Experience working with Large Language Models
- Proficiency in SQL (SQL Server, PostgreSQL, MySQL)
- Strong attention to detail and accuracy
- Proficiency in a statistical package (R),
- Experience with a scripting language (Python)
- Proficiency in MS Office, especially MS Excel
Preferred:
- Requires Bachelor’s degree in Operations, Engineering, Analytics, Statistics, Economics, Finance or a related field.
- Graduate degree and/or 1-2 years of work experience is a plus.
- Superb analytical skills, persistence in problem solving, and ability to learn quickly and independently
- Strong organizational skills, and ability to manage multiple urgent data inquiries with tight deadlines
- Great attention to detail
- Extraordinary written and oral communication skills
- Exposure to financial services space and experience with financial data feeds, with good understanding of Finance concepts
- Must be proficiency in SQL
- Must have experience with database management system (e.g. Postgres, MS SQL Server, etc)
- Must have experience with one scripting language (Python is preferred)
- Experience with data pipelines (e.g. CloverETL, Airflow, MS SSIS, AWS Glue/Step function)
- Experience with one cloud platform (AWS is preferred)
- Proficiency in MS Office, especially MS Excel
Preferred:
- Experience with data mining tasks
- Experience with one statistical package (R is preferred)
- Experience with batch scripts, shell scripts, HTML, XML
- Exposure to third-party BI Tools: Tableau, Power BI, Qlik, etc
- Experience in data modeling and data algorithm
- Exposure to Java, C#, etc
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, 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 .
For US-based roles only: the anticipated hiring base salary range for this position is $64,600 to $117,100, 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.
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.