Python Finance Graduate with XBRL Knowledge - 19/09/2025 14:02 EDT
Budget: $250 – $750 USD
I am in need of a finance graduate who is also skilled in Python programming and has a proficient understanding of XBRL.
The primary goal of this project is to extract basic financial data from XBRL files. Your tasks would include:
- Extracting financial information from XBRL files.
- Ensuring the extracted data includes basic financial statements like Balance Sheets and Income Statements.
Ideal candidates should have the following qualifications:
- A bachelor's degree in Finance or a related field.
- Proficiency in Python programming.
- Proven experience with XBRL.
- Previous experience in data extraction and financial analysis would be an added advantage.
This role requires a deep understanding of both finance and programming. Your ability to extract and present financial data accurately and efficiently is critical to the project's success.
I have data from Edgar database ( 10K , 10Q of about 5000+ companies) I need a person who can develop logic to calculate Trailing Twelve Month Free cashflow and Freecashflow growth rate for all of these symbols ( each one of them where there is last 4 month or last year data is available)
Here is current logic
1. XBRL Data for the attached Tags for all US Securities is extracted and loaded in Amazon Athena Table.
2. Then the attached set of queries are execute to cleanse and generate quarterly data ( since data is reported as cummulative)
Problem: The final data set includes fewer FCF , EPS, BvPS , NetIncome only .
Deliverable :
1. Updated XBRL_Cleanup_Logic.txt that should result into clean data for all Instruments for which data has been reported in last 6 years .
2. Diagnostic Views that should inform which Instruments have data gaps ( missing quarterly / cumulative data) for which tag , impacting which metric and how far from the current date that data gap goes.
3. What additional Tags will be needed in the FCF_COMPONENT_TYPES to make it whole.
The primary goal of this project is to extract basic financial data from XBRL files. Your tasks would include:
- Extracting financial information from XBRL files.
- Ensuring the extracted data includes basic financial statements like Balance Sheets and Income Statements.
Ideal candidates should have the following qualifications:
- A bachelor's degree in Finance or a related field.
- Proficiency in Python programming.
- Proven experience with XBRL.
- Previous experience in data extraction and financial analysis would be an added advantage.
This role requires a deep understanding of both finance and programming. Your ability to extract and present financial data accurately and efficiently is critical to the project's success.
I have data from Edgar database ( 10K , 10Q of about 5000+ companies) I need a person who can develop logic to calculate Trailing Twelve Month Free cashflow and Freecashflow growth rate for all of these symbols ( each one of them where there is last 4 month or last year data is available)
Here is current logic
1. XBRL Data for the attached Tags for all US Securities is extracted and loaded in Amazon Athena Table.
2. Then the attached set of queries are execute to cleanse and generate quarterly data ( since data is reported as cummulative)
Problem: The final data set includes fewer FCF , EPS, BvPS , NetIncome only .
Deliverable :
1. Updated XBRL_Cleanup_Logic.txt that should result into clean data for all Instruments for which data has been reported in last 6 years .
2. Diagnostic Views that should inform which Instruments have data gaps ( missing quarterly / cumulative data) for which tag , impacting which metric and how far from the current date that data gap goes.
3. What additional Tags will be needed in the FCF_COMPONENT_TYPES to make it whole.