Rating Agencies Data Extraction & Organization
Budget: €30 – €250 EUR
I'm after the creation of a Python script that will pull data from the files of Moody's, S&P, and Fitch—three prime rating agencies. The main challenge is to extract Identification data and Rating data from the agencies' XBRL/XML files.
Upon compilation, the data should be written into a combined CSV flat-file structure with standardised columns.
Key Responsibilities:
- Extracting Identification and Rating data from the XBRL/XML files of Moody's, S&P, and Fitch
- Writing data into a CSV flat-file structure
- Ensuring all data from the three agencies are combined into a single file
Essential Skills:
- Proven experience in Python script writing
- Deep understanding of XBRL/XML
- Prior experience with data extraction and manipulation into CSV files
- Familiarity with Moody’s, S&P, Fitch data structure is highly desirable
Example XBRL files from S&P provided
Upon compilation, the data should be written into a combined CSV flat-file structure with standardised columns.
Key Responsibilities:
- Extracting Identification and Rating data from the XBRL/XML files of Moody's, S&P, and Fitch
- Writing data into a CSV flat-file structure
- Ensuring all data from the three agencies are combined into a single file
Essential Skills:
- Proven experience in Python script writing
- Deep understanding of XBRL/XML
- Prior experience with data extraction and manipulation into CSV files
- Familiarity with Moody’s, S&P, Fitch data structure is highly desirable
Example XBRL files from S&P provided