The SQL query provided retrieves data from a table named...

September 12, 2025 at 06:23 PM

select CUTOFF_DT, CUSTID, nAppID, CHANNEL, CONTDT, FUNDDT, PRINBAL, AMTFIN, CURRRATE, ORIGRATE, REMTERM, ORIGTERM, CURRMAT, ORIGMAT, LTDMOEXT, PMTSMADE, ORIGPMT, CURRPMT, CURRPTI, ORIGPTI, ORIGDTI, LTV ,FICO, LFS, CASHDOWN, NEWUSED, MAKE, MODEL, VEHICLE_TYPE, [YEAR], BOOK, MILEAGE, BK, DAYSDEL, DEL10_29, DEL30_59, DEL60_89, [DEL90+], CUSTSTATE, [E-Signed], [POOL] ,SC_SBNA ,Curr_updated_pool ,cSubPool1Name ,cSubPool2Name cSubPool3Name from [Sandbox_Finance].[CapitalMarkets].SC_SBNA_Unencumbered_NPL_20250831

The SQL query provided retrieves data from a table named [Sandbox_Finance].[CapitalMarkets].SC_SBNA_Unencumbered_NPL_20250831. Here's a breakdown of what the code does:

  1. SELECT: It specifies which columns of data should be retrieved from the table. This query retrieves the following fields:

    • Financial-related data (e.g., CUTOFF_DT, CUSTID, AMTFIN, PRINBAL, CURRRATE, ORIGRATE, etc.)
    • Loan term details (e.g., REMTERM, ORIGTERM, CURRMAT, ORIGMAT, LTDMOEXT, etc.)
    • Payment information (e.g., ORIGPMT, CURRPMT, PMTSMADE)
    • Risk assessment metrics (e.g., FICO, LTV, ORIGDTI, etc.)
    • Vehicle details (e.g., NEWUSED, MAKE, MODEL, VEHICLE_TYPE, [YEAR], CASHDOWN, BOOK, MILEAGE)
    • Delinquency metrics (e.g., DAYSDEL, DEL10_29, DEL30_59, DEL60_89, [DEL90+])
    • Customer information (CUSTSTATE, [E-Signed])
    • Pooling/categorization fields ([POOL], SC_SBNA, Curr_updated_pool, cSubPool1Name, cSubPool2Name, cSubPool3Name)
  2. FROM: It identifies the table where the data is located, which is [Sandbox_Finance].[CapitalMarkets].SC_SBNA_Unencumbered_NPL_20250831. This appears to be a table with information about an unencumbered non-performing loan (NPL) pool as of the date 2025-08-31.

  3. Overall Purpose:

    • This code is likely used to query detailed records about loans or assets for financial analysis or reporting purposes. It retrieves loan-level information such as financials, vehicle data, risk metrics, and performance indicators.
    • The results would likely be used to evaluate asset performance, assess loan quality, or prepare financial statements.

In summary, this SQL query extracts a comprehensive set of loan and associated data from the specified NPL table.

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