Legacy claim assessment · partial
Historical credit modeling is evidenced, but ML and alternative-data claims remain unverified; the current Production label is misleading after the loan-portfolio exit.
Assessed Nov 8, 2026. This verdict is separate from deployment evidence and measured outcomes.
Catalog record · Lending & Credit
AI Credit Underwriting Analysis
Legacy record · assessed. The original catalog claim has an editorial assessment. Read its verdict and limitations; an assessment alone does not establish a researched deployment or outcome.
A working link does not confirm the claim. Spot checks found some catalog sources don’t substantiate specific details.
Original catalog claim · unconfirmed
Goldman Sachs applies machine learning models to credit underwriting decisions for its Marcus consumer lending platform. The models analyze traditional and alternative data to assess borrower creditworthiness and set appropriate pricing for personal loans.
- Original maturity (unconfirmed)
- Production
- Technology
- Machine Learning
- Business function
- Middle Office
- Impact (legacy label)
- High
- Catalog date · unconfirmed
- Not reported
- Imported
- Mar 13, 2026
- Tags
- Internal Tool
- Investment Bank
- Machine Learning
- Middle Office
- North America
- Production
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationships