
Data Operations Associate
2 weeks ago
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Department
Data Management & Analytics
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. The Data Analyst may perform a variety of different data management job functions, including data acquisition, data processing, data operations. This position involves a blend of qualitative/quantitative financial research and technical skills 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 identify trends, uncover patterns, solve problems and your favorite question is ‘why’.
**Responsibilities**:
- Process/cleanse/standardize data from multiple sources for input into a centralized database
- Build and maintain data processing and calculations to feed MA’s credit risk measurement and related products/models
- Identify ways to improve data operations processes either by automation or other means
- Perform quality control on data by analyzing patterns and data discrepancies and resolve related issues
- Perform data analysis using a variety of methods including statistics and relational databases
- Produce reports using Business Intelligence tools like QlikView/tableau that describe data characteristics and highlight trends and issues
- Support and resolve data inquiries and issues with accuracy and in a timely manner
- Contribute towards documentation of the processes/projects as they near completion
**Qualifications**:
- Requires Bachelor’s /Master’s degree in Engineering.
- Graduate degree and/or 2-3 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
- Excellent written and oral communication skills
- Exposure or interest in financial services space
- Exposure in dealing with large volume of data.
- 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)
- Good knowledge of writing SQL queries.
- Programming skills in R and Python
- Proficiency in MS Office, especially MS Excel
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.
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