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Job Details
Experience Level: Experienced Hire Categories:
- Engineering & Technology
- Remote - United States, US
- Support and resolve data quality and delivery issues of complex credit risk models and complex data pipeline with accuracy and in a timely manner
- Fulfill data delivery and data requests for existing and prospective clients accurately and meeting deadlines
- Respond to client data queries in a timely and accurate way
- Engage in problem solving with Customer Success and Client Support to ensure a resolution to client queries
- Support Data Engineering and Data Quality Team to monitor data delivery and data pipeline status, communicate and solve issues.
- Support Research, Engineering, Quality, Product Team in data projects, including testing and specifications.
- Analyze and solve data issues from external data providers, including exploration of new data sources
- Identify ways to improve data inquiry and delivery processes either by automation or other means
- Perform data analysis using a variety of methods including statistics and relational databases
- Perform quality control on data by analyzing patterns and data discrepancies and resolve related issues
- Produce reports using Business Intelligence tools that describe data characteristics and highlight trends and issues
- Contribute towards documentation of the processes/projects
- 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, excellent in data mining and code debugging, and ability to learn quickly and independently
- Strong organizational skills, attention to detail, and ability to manage multiple projects with tight deadlines
- Excellent and professional written and oral communication skills
- Exposure or interest in financial services space
- Ability to understand and analyze basic financial statement data, fixed income data, macro-economic statistics, and credit risk measures
- Ability to understand basics from credit risk model research papers and data specifications.
- Efficient in SQL and Database management tools (SQL Server, PostgreSQL, etc.)
- Efficient with a scripting language (Python)
- Experience working with AWS (Athena, S3, Glue jobs, etc.)
- Experience in a statistical package (R)
- Proficiency in MS Office, especially MS Excel
- Exposure to GenAI tools
- Work experience with Product team, Engineering team and other data team roles.
- Exposure to third-party BI Tools: Tableau, Qlik, AWS QuickSight
- Exposure to ETL tools: CloverETL, SSIS, Airflow, AWS Step function
- Experience working with major financial data feeds
- Experience in data modeling and query optimization
About the Company
Moody's
New York City, NY, United States
In a world shaped by increasingly interconnected risks, Moody's helps customers develop a holistic view of these risks to advance their business... Read more